Machine Learning and Knowledge Extraction Template
Format your manuscript to the Machine Learning and Knowledge Extraction requirements — abstract, the MDPI numbered ACS-style references, and required declarations — and submit through the MDPI submission system without a formatting rejection.
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How to Use the Machine Learning and Knowledge Extraction Template | A Step-by-Step Guide
Authored by Sumalatha Gangadhar | Published on 19 August, 2026
Getting past the desk at Machine Learning and Knowledge Extraction is usually less about the research and more about matching the journal’s exact submission rules. This template is built around MAKE’s actual requirements — its abstract rules, the MDPI numbered ACS-style references, and the required declarations — so your submission clears screening on the first pass. Everything below tracks the MAKE author guidelines; check it directly if anything looks out of date by the time you submit.
What is the Machine Learning and Knowledge Extraction Template?
It’s a manuscript shell set up to MAKE’s specifications for machine learning, knowledge extraction, and explainable AI. Machine Learning and Knowledge Extraction is published by MDPI. The shell covers the title page, the abstract, a body in an introduction, related work, methods, experiments, and conclusion order, and a reference list in the MDPI numbered ACS-style references style.
What’s actually in a standard MAKE submission:
Start with the title page (authors, affiliations, and ORCID iDs). The abstract is an unstructured abstract of about 200 words. The body follows an introduction, related work, methods, experiments, and conclusion, and the reference list uses the MDPI numbered ACS-style references. Close with the declarations block: conflict of interest, funding, and data availability.
What separates a clean submission from one that gets kicked back:
Beyond that, match your article type’s specific limits rather than assuming the defaults apply, keep the MDPI numbered ACS-style references formatting consistent from the first draft, and submit only through the MDPI submission system — email submissions aren’t processed.
What does this Machine Learning and Knowledge Extraction Template include?
The shell mirrors what MAKE’s editorial staff check first: abstract format and length, the MDPI numbered ACS-style references reference formatting, and a complete declarations block. For the journal’s full aims and scope, see the MAKE journal home page. Machine Learning and Knowledge Extraction is fully open access; an article-processing charge applies — check the current APC and any waiver. Manuscripts go in through the MDPI submission system, which also tracks your paper through peer review.
Steps to Use This Template with Scispace Agent
- Click Start Writing on this page — you land on the Scispace Agent prompt screen with the template already loaded.
- Use the loaded template as-is, or upload your own version if you have one.
- Edit the prompt with your actual details: topic, article type, and any word or figure limits specific to that type.
- Run it. The agent drafts directly into the correct structure — abstract, an introduction, related work, methods, experiments, and conclusion body, figure placeholders, the MDPI numbered ACS-style references, and the full declarations block — with no manual reformatting afterward.
- Review the draft in View Outputs and regenerate any section that needs tightening.
- Export to Word or LaTeX once it’s ready for submission.
Machine Learning and Knowledge Extraction Template Structure at a Glance
| Element | MAKE requirement |
|---|---|
| Abstract | an unstructured abstract of about 200 words |
| Main text | an introduction, related work, methods, experiments, and conclusion |
| Declarations | Conflict of interest, funding, and data availability |
| Figures / tables | Captioned, cited in order; check format and resolution rules in the guide |
| Supplemental | Large datasets, extra tables, code — uploaded separately and cited in text |
| Submission | the MDPI submission system |
Quick Tips for Using the MAKE Template
Read the MAKE author guidelines once before drafting and once before upload. Draft the abstract after your results are stable so it matches the paper. Set the MDPI numbered ACS-style references as your reference style before adding a single citation — retrofitting it later is where errors creep in.
Best Practices
Skim two or three recent MAKE papers to calibrate depth, structure, and figure style. State your contribution in the first two paragraphs, not on page ten. Write a data-availability statement that names a real repository rather than a placeholder, and disclose any preprint or conference version with identifiers in your cover letter. Confirm current open-access pricing and any institutional agreement before committing to a fee.
Before You Submit: Final Check
Do one focused pass against the MAKE author guidelines: scope fit, abstract format, length, the MDPI numbered ACS-style references, required declarations, and figure quality. Then submit through the MDPI submission system.
