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Record W3007307874 · doi:10.1016/j.canep.2020.101690

Agreement between questionnaires and registry data on routes to diagnosis and milestone dates of the cancer diagnostic pathway

2020· article· en· W3007307874 on OpenAlex
Alina Zalounina Falborg, Peter Vedsted, Usha Menon, David Weller, Richard D Neal, Irene Reguilon, Samantha Harrison, Henry Jensen

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.

Bibliographic record

VenueCancer Epidemiology · 2020
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsnot available
FundersMedical Research CouncilHelsedirektoratetDepartment of Health, State Government of VictoriaPublic Health AgencyCancer Institute NSWUniversity of EdinburghUniversity College LondonScottish GovernmentMacmillan Cancer SupportCancer Care OntarioKræftens BekæmpelseCancer Council VictoriaPartenariat Canadien Contre Le CancerNorges Teknisk-Naturvitenskapelige UniversitetAarhus UniversitetSveriges Kommuner och LandstingCancer Research UKLlywodraeth CymruSundhedsstyrelsenCancer Research WalesNational Taiwan Normal UniversityCancerCare Manitoba FoundationU.S. Department of Health and Human Services
KeywordsMilestoneMedicineCancer registryCancerMedical physicsFamily medicineInternal medicineCartography

Abstract

fetched live from OpenAlex
No 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 imitation

Not 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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.363
GPT teacher head0.446
Teacher spread0.083 · 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