Terms & Conditions

SciViD

Effective date: 28 October 2026

1. About these Terms

These Terms govern your use of www.scivid.com and SciViD services, operated by SciViD Pty Ltd (ACN 686 725 913, ABN 85 686 725 913), Brisbane, Queensland, Australia (“SciViD”, “we”, “us”). By using the website, submitting work or ordering a service, you agree to these Terms and to our Privacy Policy. If you do not agree, please do not use SciViD.

2. What SciViD is

SciViD is a platform for video preprints and research communication. A posted item combines a short manuscript, a video abstract and, where relevant, an interactive lab or dashboard. Items are organized in collections, including Emerging Scholars for high school students (normally grades 10–12; grade 9 with a teacher’s or mentor’s recommendation), undergraduate and graduate students.

SciViD is not a peer-reviewed journal. Posted items are preprints: they are checked against a posting checklist but are not peer reviewed, and they are labeled “Preliminary · Not peer reviewed”.
Each posted item has a SciViD identifier and a version number.
Some pages show demonstration items to illustrate the format. These are labeled as demonstrations and are not research by real authors.

When you cite or describe a SciViD item, describe it as a preprint, not as a peer-reviewed publication.

3. Who can use SciViD

Anyone can read SciViD. To submit work or create an account, you must be at least 13. Authors aged 13 to 17 need the written consent of a parent or guardian. Emerging Scholars submissions also need the sign-off of a teacher, mentor or research supervisor. If you create an account, keep your login details secure and tell us if you think someone else has used your account.

4. Your responsibilities as an author

By submitting, the authors confirm that:

all listed authors contributed to the work and agreed to the submission, and everyone else who helped is acknowledged with their role;
the work is their own and properly cites its sources, and it contains no fabricated, falsified or plagiarized material;
they have the right to use every figure, image, video, sound and dataset included, because they created it, because it is openly licensed (for example under CC BY), or because they have the owner’s permission;
research with human participants has the approval of a school, institution or ethics committee, and no participant can be identified;
laboratory work was done under the supervision and safety rules of a school or host lab;
everyone shown or heard in the video has agreed;
the contribution statement and the AI-use statement are accurate, and any AI-generated text, images, voice or footage is disclosed.

5. How posting works

We screen each submission for format, plagiarism, consent and permissions, and check it against our posting checklist. We may ask for revisions, decline a submission, or remove an item that breaches these Terms; we will tell the authors why. Posting is free. Posting decisions never depend on payment or on fees for any other service. Submissions by students whom SciViD’s founder mentors, including through the NanoTRIZ Research Scholar Program, and work authored by the founder are decided by an unconflicted editor, or an independent moderator appointed for that submission, with no NanoTRIZ role. Any other editor who authored, supervised or mentored a submission takes no part in its posting decision. If independent screening cannot be arranged, posting is deferred. The relationship is disclosed on the posted item.

6. Versions, corrections and withdrawal

Authors may post new versions with a dated note of changes. Earlier versions stay available. Authors may ask us to withdraw an item; it is then replaced by a withdrawal notice that keeps its identifier and title. At the request of an author, or of a parent or guardian of an author under 18, we remove the author’s personal details from the notice. For an author under 18, a parent or guardian may instead ask us to remove the item completely, including the notice; its identifier is then retired and not reused. We may remove an item entirely where the law requires it, or where it puts someone’s safety or privacy at risk.

7. DOIs through Zenodo

A DOI is optional and is not required for posting. For selected items, and with the consent of all authors, SciViD may deposit a posted item with Zenodo to obtain a DOI; this is not automatic or guaranteed. A DOI does not indicate quality, peer review or endorsement. SciViD does not arrange a DOI for an item with an author under 18; once all authors are 18 or older, they may deposit the item themselves or ask us to consider it. Authors may instead deposit their own work and give us the DOI to link. Zenodo records are intended to be permanent: they can be updated with new versions but are generally not deleted. Zenodo’s own terms apply to those records.

8. Copyright and licenses

Authors keep the copyright in their work. At submission, authors choose the license shown on the item; unless stated otherwise, items are posted under the Creative Commons Attribution 4.0 license (CC BY 4.0). Authors also give SciViD a non-exclusive, worldwide, royalty-free license to:

host, display, reproduce and distribute the item;
format it for the website;
create captions, thumbnails and short excerpts to present or promote it.

For authors under 18, a parent or guardian also agrees to these licenses. An open license cannot be revoked: if an item is withdrawn from SciViD, copies already made by others under CC BY may remain. The SciViD name, logo, website design and our own text belong to SciViD Pty Ltd and are not covered by the license of any posted item.

9. Interactive labs and simulations

Interactive labs and dashboards illustrate a model or a dataset. Simulations are labeled “Model simulation, not experimental data”. They are educational tools, not validated engineering, medical or safety tools.

10. SciViD Studio (free templates)

SciViD Studio provides free templates and in-browser tools for making your own films, simulations and computations. They are provided as is, without warranty of any kind. SciViD does not produce, render, review or validate material made with them and accepts no responsibility for its content, accuracy or use. A film made with the Studio is shown on SciViD only when it is linked to a posted SciViD preprint or to a published article.

Users remain fully responsible for the scientific content, accuracy, sources, permissions and licenses of anything they make with the templates.
Any synthetic voice or AI-generated footage must be disclosed in the video and its description, as set out in the Author Guidelines and the Integrity Guide.
Using the templates is not required for posting and does not affect whether or when an item is posted.

11. Acceptable use

You must not use SciViD to:

break the law;
harass or impersonate anyone;
post material that is defamatory or hateful, or that infringes the rights of others;
upload malware;
disrupt the website, or collect data from it by automated means beyond normal search-engine indexing;
present a SciViD preprint as a peer-reviewed publication.

12. Disclaimers

Posted items are the authors’ work and views, not SciViD’s. They are not peer reviewed and may contain errors. Nothing on SciViD is medical, legal, financial or other professional advice. Posting on SciViD does not guarantee admission to any school or university, any award or later publication in a journal. We aim to keep the website available but do not guarantee uninterrupted access.

13. Consumer rights and liability

Our services come with guarantees that cannot be excluded under the Australian Consumer Law. Nothing in these Terms limits those rights, or any rights you have under the consumer laws of your own country. Subject to those rights and to the extent permitted by law:

we are not liable for indirect or consequential loss, or for loss caused by relying on a posted item;
our total liability for any claim is limited to the amount you paid us for the service concerned or, where the Australian Consumer Law allows, to supplying the service again.

14. Third-party services and links

SciViD links to and uses third-party services such as Zenodo and video platforms. Their own terms and privacy policies apply, and we are not responsible for their content.

15. Changes to these Terms

We may update these Terms and will post the new version on this page with a new effective date. Changes do not affect orders already confirmed.

16. Governing law

These Terms are governed by the laws of Queensland, Australia, and the courts of Queensland have jurisdiction. If you are a consumer living elsewhere, you keep any mandatory protections of the law of your country.

17. Contact

SciViD Pty Ltd · Brisbane, Queensland, Australia · editor@scivid.net

Label	Meaning	Minimum evidence
Benchmarked	The method reproduces an independent reference, and the result is converged	Benchmark comparison, convergence or repeatability test, documented source data
Simplified estimate	An order-of-magnitude or reduced-model result with stated assumptions	Assumptions listed, validity range stated, no claim beyond that range
Conceptual	An illustration of an idea, mechanism or scenario	Clearly marked as illustrative; not used as evidence

Mistake	How to detect it	How to handle it
Model used outside its regime (e.g., continuum flow where the gas is rarefied, inertia included at very low Reynolds number, Brownian motion neglected for sub-micrometer particles)	Compute the relevant dimensionless numbers (Reynolds, Knudsen, Péclet, Biot) for your parameters	State the regime explicitly; choose a model valid in it; cite the source that defines the validity range
Unit and dimension errors (mixing µm and m, °C and K, per-minute and per-second rates)	Check that every equation is dimensionally consistent; run one case by hand	Work in SI units internally; convert only for display; label every axis and value with units
Wrong or unstated boundary and initial conditions	Ask: what happens at each wall, inlet, outlet and at t = 0?	Write them out in the methods; justify each against the physical system
No comparison with a known solution	Ask: has this code ever reproduced a result I did not produce myself?	Reproduce an analytical limit or a published benchmark first; show the comparison
No convergence test	Results change when the mesh, time step or sample size is refined	Refine at least twice; report the change in the key quantity; use the converged setting
AI-generated code accepted without checking	The author cannot explain each line or each parameter	Read and comment the code; test it on a case with a known answer; record what the AI tool produced in the Claim & AI-use log
Parameter values without a source	A value appears in a table or narration with no reference	Give a reference, a measurement or an explicit assumption for every parameter
Too few samples for stochastic results	Brownian or Monte Carlo results vary noticeably between runs	Run multiple independent realizations; report the mean and spread

Mistake	Example	Correct handling
Overclaiming	“This device could revolutionize drug delivery” from a single simulation	State what was shown, under which assumptions, and what remains untested
Correlation presented as mechanism	Two quantities change together, so one is said to cause the other	Say “is associated with”; propose the mechanism as a hypothesis and state how to test it
Estimate presented as validated	An order-of-magnitude force estimate narrated as a measured result	Use the correct status label in the text, on screen and in the narration
Missing uncertainty	A single number with no error bar or range	Report the spread across runs, parameter sensitivity, or the range of validity
Selected parameters	Only the parameter set that “works” is shown	Show the parameter sweep, including cases where the effect disappears
Novelty not checked	“For the first time” without a literature search	Search the literature; cite prior work; describe precisely what is new
Extrapolation beyond the model	A result at the micrometer scale is narrated as applying to the human body	Restrict claims to the scale and conditions modeled

Mistake	Why it matters	Correct handling
Conceptual animation mistaken for evidence	A 3D render or generative-video shot looks like a result	Mark such shots on screen as “Conceptual illustration”; keep data-derived visuals visually distinct
Generative video showing physically impossible behavior	AI video tools do not obey physics; motion, scale and timing may be wrong	Use generative footage only for non-evidentiary context; never to show a result
Plots without units, scale bars or error bars	The viewer cannot judge magnitude or reliability	Label axes with quantity and SI unit; add scale bars to images; show uncertainty
Misleading color maps	Rainbow-type maps create false boundaries and are hard to read for colorblind viewers	Use perceptually uniform maps (e.g., viridis, cividis); show the color bar with units
Truncated or inconsistent axes	Small differences look large; panels cannot be compared	Start axes at zero where magnitudes are compared; use the same scale across panels
Narration diverging from the data	The voiceover states a value or trend the figure does not show	Script the narration from the results file; check every number spoken against the source
Time and length scales not shown	Slowed or accelerated motion, or magnified objects, mislead viewers	Display time stamps, playback speed and scale bars
Too much on screen at once	Viewers cannot follow equations, plots and narration simultaneously	One idea per scene; give equations time to be read

Topic	Resource	What it gives you
Reproducible computation	Sandve et al. (2013), Ten Simple Rules for Reproducible Computational Research, PLOS Comput. Biol. 9, e1003285	Practical rules: track how each result was produced, record versions and random seeds, store the raw data behind plots
Figures	Rougier, Droettboom and Bourne (2014), Ten Simple Rules for Better Figures, PLOS Comput. Biol. 10, e1003833	Designing figures for a given audience, message and medium
Color maps	Crameri, Shephard and Heron (2020), The misuse of colour in science communication, Nat. Commun. 11, 5444	Why rainbow and red–green maps distort data; how to choose accessible, perceptually uniform maps
Units	BIPM, The International System of Units (SI Brochure, 9th edition)	Authoritative definitions and rules for writing SI units and quantities
AI and authorship	COPE position statement: Authorship and AI tools	Why AI tools cannot be authors and what authors must disclose
Coding skills	Software Carpentry lessons	Free introductory lessons on the Unix shell, Git, and Python or R
Archiving data and code	Zenodo	A free general-purpose repository operated by CERN that assigns a DOI to each deposit

SciViD

Terms & Conditions

Common Mistakes in Video Preprints

1. Purpose and scope

Result status labels

2. Common mistakes in modeling and computation

3. Common mistakes in interpretation and claims

4. Common mistakes in visualization and video

5. Less obvious mistakes

6. Integrity, authorship and AI disclosure

7. Pre-submission checklist

Model and computation

Results and claims

Video

Integrity and reproducibility

8. Where to find help

Terms & Conditions

1. Purpose and scope

Result status labels

2. Common mistakes in modeling and computation

3. Common mistakes in interpretation and claims

4. Common mistakes in visualization and video

5. Less obvious mistakes

6. Integrity, authorship and AI disclosure

7. Pre-submission checklist

Model and computation

Results and claims

Video

Integrity and reproducibility

8. Where to find help

About you

The student and the work

The video abstract

Your consent