Method
Each paper is scored 0–4 on eight criteria of research method, using the anchored descriptions below. A criterion that genuinely does not apply (for example, research design in a paper making no causal claims) is marked N/A and the remaining weights are rescaled. The paper score is the weighted mean, scaled 0–100.
How a paper is scored
- Collected politely. We follow each site's robots.txt, identify ourselves, and make at most one request every five seconds per site. A site that blocks automated access is never worked around; its papers are added by hand.
- Read by code first. Text is extracted page by page. Code re-does the paper's own arithmetic where it states its inputs, and checks intervals and units.
- Identifying details reduced. Institute and author names, forewords, endorsements and author biographies are removed from the text the models assess. Subject and style can still identify a source, so we claim reduced identifying information, not blindness.
- Evidence gathered, then scored. One model assembles page-referenced evidence for each criterion; a stronger model scores from that evidence and reads the full paper when the evidence is uncertain, when code checks found problems, and for a random 10% audit sample.
- Every quote verified. Code checks every cited quote against the cited page. A paper whose evidence does not verify is not published.
- Signed off by a person. Nothing is published until a reviewer approves it.
Limits we know about
- Splitting the reading and scoring across models is a cost saving whose accuracy is not yet measured against a single strong model reading every page. That comparison is planned; until it is run, treat it as an assumption.
- Scores are stable to within one point per criterion in our repeat tests only once those tests have run; the method page will say when they have.
- Models make mistakes. The evidence and page references are there so anyone can check.
Rubric v1
Do the headline and executive-summary claims match the strength of evidence the body and appendices actually provide?
| 4 | Headline claims match the body's strength of evidence exactly. |
| 3 | Headline broadly matches the evidence; minor overstatement or missing qualifiers. |
| 2 | Headline overstates in places; key qualifications appear only in the body. |
| 1 | Headline materially overstates the evidence (e.g. certainty or causation the body does not establish), though without explicit contradiction. |
| 0 | Headline asserts causal or certain effects that the body or appendix explicitly disclaims. |
Are intervals, significance and uncertainty reported and propagated into derived figures?
| 4 | Intervals and significance reported and propagated consistently into every derived figure. |
| 3 | Uncertainty reported and mostly propagated; minor gaps. |
| 2 | Intervals reported for primary estimates but not carried into derived figures, or inconsistently computed. |
| 1 | Uncertainty mentioned for some estimates but absent from the figures the paper leads with. |
| 0 | No intervals, or intervals dropped or misreported in downstream figures. |
Does the design support the causal claims made?
| 4 | Credible design; threats named and tested. |
| 3 | Credible design; main threats named, some tested. |
| 2 | Plausible design with significant threats named but not tested. |
| 1 | Causal language on a weak design; threats acknowledged only in passing. |
| 0 | Correlation presented as causation; threats to validity unaddressed. |
Is the strongest opposing work cited, summarised fairly and answered?
| 4 | Strongest opposing work cited, summarised fairly and answered. |
| 3 | Opposing work summarised fairly and answered in part. |
| 2 | Opposing work summarised but not substantively answered. |
| 1 | Opposing work mentioned but dismissed without argument, or used inconsistently. |
| 0 | Strongest opposing work omitted, or listed in the bibliography but ignored. |
Are costs and benefits of the recommended policy treated with the same rigour?
| 4 | Both quantified with the same rigour, or both explicitly unquantified. |
| 3 | Both quantified with comparable rigour; minor omissions. |
| 2 | Both quantified, but with visibly different rigour or omitted major cost categories. |
| 1 | Costs acknowledged qualitatively while benefits are quantified. |
| 0 | Benefits quantified, costs 'out of scope'. |
Could a reader re-derive the headline figures from what is published?
| 4 | Data, code and assumptions published; headline figures re-derivable. |
| 3 | Data and assumptions available; code or some steps missing. |
| 2 | Assumptions stated; data or code unavailable. |
| 1 | Data sources named but assumptions and method too thin to re-derive. |
| 0 | Data, code and assumptions unavailable. |
Are numbers, units, dates and terms consistent across sections, and is the arithmetic right?
| 4 | Fully consistent; code checks pass. |
| 3 | Minor slips only. |
| 2 | Some inconsistencies or terminology slips, none changing a headline figure. |
| 1 | Several inconsistencies, at least one affecting a headline figure. |
| 0 | Numbers, units or dates conflict across sections; arithmetic errors. |
Are key assumptions varied and the sensitivity of results reported?
| 4 | Key assumptions varied and the sensitivity of results reported. |
| 3 | Key assumptions varied; reporting incomplete. |
| 2 | Some assumptions varied, but not the ones driving the headline. |
| 1 | Sensitivity mentioned but not shown. |
| 0 | Single-point assumptions, never varied. |
Context (shown, not scored)
Funding and conflicts disclosure; review status; whether data and code are published.