Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
VenueCancer Epidemiology · 2019
Typearticle
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsnot available
FundersNational Institute of Environmental Health SciencesNational Cancer InstituteBundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und VerbraucherschutzAustralian Research CouncilUniversity of California, San FranciscoNational Institutes of HealthAssociation pour la Recherche sur le CancerAgence Française de Sécurité Sanitaire de l'Environnement et du TravailCentre hospitalier universitaire Sainte-JustineWorld Health OrganizationCancéropôle Ile de FranceNational and Kapodistrian University of AthensFondation de FranceInternational Arctic Research Center, University of Alaska, FairbanksLigue Contre le CancerAgence Nationale de la RechercheGenome Center, University of California, DavisAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailAgence Française de Sécurité Sanitaire des Produits de SantéTexas Children's HospitalSociété Française de lutte contre les Cancers et les leucémies de l'Enfant et de l'AdolescentFondation pour la Recherche MédicaleFundação de Amparo à Pesquisa do Estado de São PauloInstitut National Du CancerInstitut National de la Santé et de la Recherche MédicaleCHILDREN with CANCER UKCentre hospitalier régional universitaire de LilleAlex's Lemonade Stand Foundation for Childhood CancerInstitut Gustave-RoussyU.S. Environmental Protection Agency
KeywordsMedicineMyeloid leukemiaChildhood leukemiaPregnancyLeukemiaPediatricsEnvironmental healthInternal medicineLymphoblastic LeukemiaGenetics
Abstract
fetched live from OpenAlexNo abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.786
Codex and Gemma teacher scores by category
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
