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Record W4244931229 · doi:10.21203/rs.3.rs-40584/v2

Screening for the Prevention and Early Detection of Cervical Cancer: Protocol for Systematic Reviews to Inform Canadian Recommendations

2020· preprint· en· W4244931229 on OpenAlexaffabout
Allison Gates, Jennifer Pillay, Donna L. Reynolds, Rob G. Stirling, Gregory Traversy, Christina Korownyk, Ainsley Moore, Guylène Thériault, Brett D. Thombs, Julian Little, Catherine Popadiuk, Dirk van Niekerk, Diana Keto‐Lambert, Ben Vandermeer, Lisa Hartling

Bibliographic record

VenueResearch Square · 2020
Typepreprint
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of British ColumbiaUniversity of OttawaMcGill UniversityMemorial University of NewfoundlandPublic Health Agency of CanadaMcMaster UniversityUniversity of TorontoUniversity of Alberta
Fundersnot available
KeywordsProtocol (science)Systematic reviewCervical cancerMedicineCancerMEDLINEPolitical scienceAlternative medicinePathologyInternal medicine

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.128
metaresearch head score (Gemma)0.205
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.847
Threshold uncertainty score0.677

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1280.205
Meta-epidemiology (narrow)0.0060.007
Meta-epidemiology (broad)0.0120.021
Bibliometrics0.0190.027
Science and technology studies0.0070.004
Scholarly communication0.0090.005
Open science0.0060.008
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0580.010

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 head0.305
GPT teacher head0.535
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes2
Has abstractno

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