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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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COVID-19 and Mental Health
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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.

4,572 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.
4,572 works in the cohort · of 4,299,418page 45 of 92

Labels cover 32 of 4,572 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 4,572 of 4,572 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.

affunlabeled
Patient Contact Recall after SARS Exposure
Popy Dimoulas, Karen A. Green, Altynay Shigayeva, Michael Aquino, Allison McGeer, Damon C. Scales
2005· article· en· Emerging infectious diseases· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Quarantine: use with care
Steve Kisely
2021· article· en· BJPsych Open· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Introduction. Rheumatoid arthritis (RA) is a systemic and chronic autoimmune disease involving the joints disorder as the main manifestations. Methotrexate (MTX) is currently still the drug of choice for RA treatment due to the good clinical response. However, there was a case reported by the American Geriatric Society in 2015 regarding the presence of reversible dementia after treatment with low-dose oral methotrexate. This study aimed to identify the effect of MTX treatment on cognitive disorder in RA patients. Methods. The study protocol was registered with PROSPERO (CRD42023414937). A systematic literature search was conducted in Medline Embase database, Scopus, CENTRAL to identify cohort observational studies, case controls, and randomized control trial (RCT) studies, evaluating the effect of methotrexate therapy on cognitive function disorder in RA patients. The Newcastle-Ottawa Scale (NOS Scale) was used to analyze the quality of existing observational studies and The COCHRANE was used to analyze the RCT studies which included in the journals reviewed. Results. There were 4 observational studies that met the criteria, including 2 case control studies and 2 cohort studies. Pooling was carried out in two different types of studies. The OR was 0.81 (95%CI 0.4 – 1.68) in the case control studies group, whereas the RR was 0.88 (95% CI 0 .6 – 1.3) in the cohort studies group. The heterogeneity of each type of case-control studies and cohort studies were I2 92% (p-value277% (p-value Conclusion. Methotrexate therapy has not been proven to have an effect on cognitive disorder in RA patients either as a protective factor or as a risk factor.
Evy Yunihastuti, Ari Fahrial Syam, Dewi Sumaryani Soemarko, Andrian Wiraguna
2023· article· en· Jurnal Penyakit Dalam Indonesia· Psychology
machine prediction:candidate · metaepi_broadconsensus · none
3
citations
venueno affunlabeled
Moderators of the Effects of a Digital Parenting Intervention on Child Conduct and Emotional Problems Implemented During the COVID-19 Pandemic: Results From a Secondary Analysis of Data From the Supporting Parents and Kids Through Lockdown Experiences (SPARKLE) Randomized Controlled Trial
Nikola Pokorna, Melanie Palmer, Oliver P. Pearson, Nicholas Beckley‐Hoelscher, James Shearer, Katarzyna Kostyrka‐Allchorne +9 more
2024· article· en· JMIR Pediatrics and Parenting· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
How COVID-19 is Affecting Apprentices
Shamaila Hassnain, Naureen Omar
2020· article· en· BIOMEDICA· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Στρατηγικές αντιμετώπισης αντίξοων καταστάσεων, αντιλαμβανόμενο αίσθημα απειλής και πηγές κοινωνικής υποστήριξης σε ενηλίκους κατά την περίοδο της πανδημίας COVID-19
Alexandros Antoniou, Esther R. Greenglass, Μελέτιος Αθανάσιος Δημόπουλος, Γεώργιος Χρούσος, Χαράλαμπος Παπαγεωργίου, Γιάννης Τούντας
2022· article· el· Psychology the Journal of the Hellenic Psychological Society· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Editorial: COVID-19-Social Science Research During a Pandemic
Paul Ward, Paul Bissell, Samantha B. Meyer, Hailay Abrha Gesesew, Pande Putu Januraga, Dukjin Chang +1 more
2022· editorial· en· Frontiers in Public Health· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
In Response
C Bong, Christopher Brasher, Edson Chikumba, Robert McDougall, Jannicke Mellin‐Olsen, Angela Enright
2020· letter· en· Anesthesia & Analgesia· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations

How this was built: Screen · Findings · About