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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

233 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
233 works in the cohort · of 4,299,418page 2 of 5

Labels cover 233 of 233 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 233 of 233 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affgemma · metaresearch+metaepi_broad+metaepi_narrowgpt · metaresearch+metaepi_narrow+metaepi_broadmodels agree
Impact of Selection Bias on Treatment Effect Size Estimates in Randomized Trials of Oral Health Interventions: A Meta-epidemiological Study
Humam Saltaji, Susan Armijo‐Olivo, Greta G. Cummings, Maryam Amin, Bruno R. da Costa, Carlos Flores‐Mir
2017· review· en· Journal of Dental Research· Mathematics
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · metaresearch
41
citations
affgemma · metaresearch+metaepi_broad+metaepi_narrowgpt · metaresearch+metaepi_narrow+metaepi_broadmodels agree
What does expert opinion in guidelines mean? a meta-epidemiological study
Oscar J. Ponce, Neri Alejandro Álvarez‐Villalobos, Raj Shah, Mohammed Khaled, Rebecca L. Morgan, Shahnaz Sultan +5 more
2017· review· en· Evidence-Based Medicine· Medicine
machine prediction:candidate · metaresearch+metaepi_broadconsensus · none
38
citations
affno abstractgpt · metaresearch+metaepi_broadgrok · metaresearch+metaepi_broadopus · metaresearch+metaepi_broadmodels agree
Cognitive-behavioral treatment for gambling harm: Umbrella review and meta-analysis
Rory A. Pfund, Meredith K. Ginley, Hyoun S. Kim, Cassandra L. Boness, Tori L. Horn, James Whelan
2023· review· en· Clinical Psychology Review· Psychology
machine prediction:candidate · noneconsensus · none
36
citations
affgemma · metaresearchgpt · metaresearch+metaepi_broadmodels split
Assessment of generalizability, applicability and predictability (GAP) for evaluating external validity in studies of universal family‐based prevention of alcohol misuse in young people: systematic methodological review of randomized controlled trials
José Ramón Fernández Hermida, Amador Calafat, Elisardo Becoña, Alexander Tsertsvadze, David Foxcroft
2012· review· en· Addiction· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
33
citations
aboutno affgemma · metaresearch+metaepi_broadgpt · metaepi_broadmodels split
Certainty of the Global Burden of Disease 2019 Modelled Prevalence Estimates for Musculoskeletal Conditions: A Meta-Epidemiological Study
Javier Muñoz Laguna, Milo A. Puhan, Fernando Rodríguez‐Artalejo, Robby De Pauw, Grant M. A. Wyper, Brecht Devleesschauwer +2 more
2023· review· en· International Journal of Public Health· Medicine
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · none
31
citations
affgemma · metaresearch+metaepi_broadgpt · metaepi_narrow+metaepi_broad+metaresearchmodels split
More pilot trials could plan to use qualitative data: a meta-epidemiological study
Tejan Baldeh, Tonya MacDonald, Sarah Daisy Kosa, Daeria O. Lawson, Rosa Stalteri, Oluwatobi R. Olaiya +3 more
2020· article· en· Pilot and Feasibility Studies· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · metaresearch
29
citations
afffundgpt · metaepi_broadgrok · no categoryopus · no categorymodels split
Accuracy assessment of prediction in patient outcomes
Emma Bartfay, Wally J. Bartfay
2008· review· en· Journal of Evaluation in Clinical Practice· Computer Science
machine prediction:candidate · metaresearchconsensus · none
25
citations
affgemma · no categorygpt · metaepi_broadmodels split
Comparative effectiveness of high-intensity interval training and moderate-intensity continuous training on cardiometabolic health in patients with diabesity: a systematic review and meta-analysis of randomized controlled trials
Sameer Badri Al-Mhanna, Eric Tsz‐Chun Poon, Barry A. Franklin, Mark A. Tarnopolsky, John A. Hawley, John M. Jakicic +13 more
2025· review· en· Diabetology & Metabolic Syndrome· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affgemma · metaresearch+metaepi_narrow+metaepi_broadgpt · metaresearch+metaepi_narrow+metaepi_broadmodels split
Abbreviated and comprehensive literature searches led to identical or very similar effect estimates: a meta-epidemiological study
Hannah Ewald, Irma Klerings, Gernot Wagner, Thomas L. Heise, Andreea Dobrescu, Susan Armijo‐Olivo +6 more
2020· review· en· Journal of Clinical Epidemiology· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
20
citations
aboutno affgemma · metaresearch+metaepi_broadgpt · metaresearch+metaepi_broadmodels agree
Reproducibility of infant fNIRS studies: a meta-analytic approach
Jessica Gemignani, Irene de la Cruz‐Pavía, Anna Martinez, Caroline Nallet, Alessia Pasquini, Gaia Lucarini +2 more
2023· article· en· Neurophotonics· Psychology
machine prediction:candidate · metaresearchconsensus · none
16
citations
affgemma · metaresearch+metaepi_broadgpt · metaresearch+metaepi_narrow+metaepi_broadmodels split
Quantifying the impact of immortal time bias: empirical evidence from meta-analyses
Min Seo Kim, Dong Keon Yon, Seung Won Lee, Masoud Rahmati, Marco Solmi, André F. Carvalho +4 more
2025· article· en· Journal of the Royal Society of Medicine· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
15
citations
afffundgemma · metaresearch+metaepi_broadgpt · metaresearch+metaepi_narrow+metaepi_broadmodels split
How should we evaluate the risk of bias of physical therapy trials?: a psychometric and meta-epidemiological approach towards developing guidelines for the design, conduct, and reporting of RCTs in Physical Therapy (PT) area: a study protocol
Susan Armijo‐Olivo, Jorge Fuentes, Todd Rogers, Lisa Hartling, Humam Saltaji, Greta G. Cummings
2013· article· en· Systematic Reviews· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
15
citations
affgemma · metaresearch+metaepi_narrow+metaepi_broadgpt · metaresearch+metaepi_narrow+metaepi_broadmodels agree
Integration of non-randomized studies with randomized controlled trials in meta-analyses of clinical studies: a meta-epidemiological study on effect estimation of interventions
Fan Mei, Minghong Yao, Yuning Wang, Jiayidaer Huan, Yu Ma, Guowei Li +3 more
2024· review· en· BMC Medicine· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · metaresearch
14
citations
affgemma · metaresearch+metaepi_broad+metaepi_narrowgpt · metaresearch+metaepi_narrow+metaepi_broadmodels agree
The influence of bias in randomized controlled trials on rehabilitation intervention effect estimates: what we have learned from meta-epidemiological studies
Chiara Arienti, Susan Armijo‐Olivo, Giorgio Ferriero, Peter Feys, Thomas J. Hoogeboom, Carlotte Kiekens +8 more
2023· article· en· European Journal of Physical and Rehabilitation Medicine· Economics, Econometrics and Finance
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
13
citations

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