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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.

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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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Psychosomatic Disorders and Their Treatments
Retraction
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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.

3,293 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.
3,293 works in the cohort · of 4,299,418page 23 of 66

Labels cover 6 of 3,293 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 3,293 of 3,293 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.

aboutno affunlabeled
Alexithymia among elderlypatients with diabetes
Sevılay Hıntıstan, Dilek Çilingir, Nermin Birinci
2013· article· en· Pakistan Journal of Medical Sciences· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
aboutno affunlabeled
Alexitimia y relaciones de pareja
Alberto Espina Eizaguirre
2002· article· es· Psicothema· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
What's in a name?
Benjamin Tolchin, David L. Perez, Jerzy P. Szaflarski, Gaston Baslet, Julia Doss, Jeffrey Buchhalter +2 more
2020· article· en· Epilepsy & Behavior· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
aboutno affunlabeled
High levels of alexithymia in patients with multiple sclerosis
Áudred Cristina Biondo Eboni, Mariana Cardoso, Felipe Moreira Dias, Paulo Diniz da Gama, Sidney Gomes, Marcus Vinícius Magno Gonçalves +10 more
2018· article· en· Dementia & Neuropsychologia· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Sensitivity to expressions of pain in schizophrenia patients
Maurício Martins, Bernardo Melo Moura, Isabel Pavão Martins, Maria Luísa Figueira, Kenneth M. Prkachin
2011· article· en· Psychiatry Research· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Dissociation as a trauma-related phenomenon.
Bethany L. Brand, Paul Frewen
2017· book-chapter· en· American Psychological Association eBooks· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
aboutno affunlabeled
[Alexithymia and depression in eating disorders].
Olivier Guilbaud, Maurice Corcos, Jean Chambry, Sabrina Paterniti, Gwenolé Loas, P. Jeammet
2001· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
aboutno affunlabeled
Dental fear and alexithymia among adults in Finland
Vesa Pohjola, Aino K. Mattila, Matti Joukamaa, Satu Lahti
2011· article· en· Acta Odontologica Scandinavica· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
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How this was built: Screen · Findings · About