SciGround · From results to manuscript

Keep the manuscriptaligned with the evidence.

Compare text, tables and figures with their research evidence. See where numbers or wording drift, distinguish rule-based checks from AI assessments, and review corrections as a new document version.

Know what to change, and why.

Select a finding to trace the statement to its evidence and review the suggested correction.

Illustrative draft · synthetic study data · not a SciGround report

Three findings in this draft Select one to trace it

Draft

Day-14 body weight was compared between treated and control mice (n = 12 per group). Mean body weight was 2.08 g lower in the treated group (95% CI 1.33 to 2.83 g; Welch’s t-test), showing that the treatment causes weight loss.

Figure 1. Day-14 body weight by group. Bars show mean ± error.

Compared with Research version v3

Result

Experimental unit
Animal
Animals
10 treated · 10 control
Treatment − Control
−2.08 g
95% CI
−2.83 to −1.33 g
Method
Welch, two-sided

Design

Groups
Two independent groups
Outcome
One weight per animal, day 14; no baseline

Declarations

Random assignment
Declared, not verified

Recorded as a declaration; the supplied files do not document it.

Figure 1 file

Contents
Image only (PNG)
Plot data or script
Not supplied

What to change

Sample count mismatch

The draft says 12 per group; v3 has 10 animals per group, counted by animal.

Suggested correction

Delete: n = 12 per group Insert: n = 10 animals per group

How it was checked

Rule-checked. A specified rule compared this item with its evidence.

Sample-size rule: a count in the text must equal the cited result’s n for the same experimental unit.

The rule compares this one count with the result; the rest of the study is checked by its own checks.

Claim goes beyond the result

Each part of the claim, checked against the study
The claim saysWhat the study shows
“2.08 g lower”vs Result · v3SupportedEstimate and 95% CI (1.33 to 2.83 g lower) agree.
“weight loss”vs Design · v3Not measuredOne weighing per animal on day 14; no baseline, so no change within animals.
“causes”vs Declarations · v3Declared onlyA causal reading rests on random assignment, which is declared but not documented.
Suggested correction

Mean body weight was 2.08 g lower in the treated group (95% CI 1.33 to 2.83 g; Welch’s t-test)Delete: , showing that the treatment causes weight loss.

With assignment records: “…, indicating that the treatment lowered day-14 body weight.”

How it was checked

AI-assessed. An AI assessment. Review its reasoning and suggestion; it can miss problems or raise false alarms.

AI assessment of the wording against the result, design and declarations.

“Weight loss” implies change within animals, but each animal was weighed once: the result is a day-14 difference between groups. “Causes” rests on random assignment, which is declared but not documented. A suggestion to review, not a proven correction.

Error bars cannot be checked yet

The caption does not define the bars, and Figure 1 was supplied as an image only.

To check it, supply
  • The plot data or script
  • The error-bar definition: SD, SE or 95% CI

Then the caption is checked against the plotted values.

How it was checked

Not checkable. The supplied evidence does not allow this check yet.

The figure-definition check needs the plotted values or their source.

Nothing supplied says whether the bars show SD, SE or a confidence interval, and the definition is not inferred from the image. The gap stays in the report until the material is supplied.

Map the draft to evidence. Review the correction.

  1. 01

    Send the draft and its evidence.

    Text, tables, figures with source data, and the verified results.

  2. 02

    Map each statement to evidence.

    Numbers, units, directions, and claims are matched to their sources.

  3. 03

    Review suggested corrections.

    Corrections come as a new version with reasons and a diff.

  4. 04

    Confirm the new version.

    The corrected draft is checked again before it goes back to your document.

A review you can act on

  • A shareable results package traced to evidence
  • A finding-by-finding report, each labeled rule-checked, AI-assessed, or not checkable, with its location and evidence
  • A corrected version and diff, with the original preserved
  • A section listing every pre-specified result, significant or not

Document checks and correction delivery.

A results package, ready to share.

Generate a package with methods, results table, assumptions, limitations, checked scope, and the Record reference. Every number traces to its evidence, and display rounding never flips a decision.

Manuscript checked against evidence.

Submit a methods or results section with its tables and figures. SciGround checks numbers and rounding, sample sizes and experimental units, group direction, units, methods, axis and error-bar definitions, and how strongly each claim is worded.

Catch AI drift every time you recheck.

Rewritten and shortened text is checked again. Overstatement—non-significance as equivalence, association as causation, a limited result as a full guarantee—is flagged, and so is wording that weakens a sound result unnecessarily.

Corrections, as a new version.

SciGround drafts corrections for numbers, wording, and figure notes, keeps the original, and checks the new version again with a clear diff and reasons.

Works where you write.

Bring documents from GitHub, Word, or Google Docs with their versions. Corrections come back as a separate branch or pull request, a new document, or a diff—the original is never overwritten.

Every planned result, on the record.

The package lists every result you planned in advance, significant or not, drawn from the study’s own Records. A reviewer can fetch them by study ID and compare them with the manuscript.

Scope and conditions

Checking a manuscript against evidence is not the same as proving every sentence. See where the line is.

Read the full conditions →

Bring the draft together with its evidence.

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