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Additional file 1: Table S1. of Reproductive and genital health and risk of cervical human papillomavirus infection: results from the Ludwig-McGill cohort study

2016· article· W7138207501 on OpenAlexaboutno aff
Eileen Shaw, Agnihotram Ramanakumar, Mariam El-Zein, Flávia Ferreira Mendes Silva, Lenice Galan, Maria Baggio, Luisa Villa, Eduardo Franco

Bibliographic record

VenueFigshare · 2016
Typearticle
Language
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsCohortCohort studyHPV infectionOdds ratioPopulationHuman papillomavirusSex organRetrospective cohort studyCervical cancer

Abstract

fetched live from OpenAlex

Open-ended questionnaire variable category designations from the first four patient visits, including qualitative observations from cytology results in the Ludwig-McGill Cohort Study. Table S2. Characteristics of the Ludwig-McGill Cohort Study population by HPV infection according to phylogenetic group and transient or persistent infections. Table S3. Crude and restricted crude (CrudeR) odds ratios of associations between reproductive health and vaginal hygiene and the 1-year period prevalence of HPV infection according to phylogenetic group in the Ludwig-McGill Cohort Study. (DOC 331 kb)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.003
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.968
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.056
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.007
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7850.086

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 head0.053
GPT teacher head0.326
Teacher spread0.273 · 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.

Study designObservational
Domainnot available
GenreDataset

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

Citations0
Published2016
Admission routes1
Has abstractyes

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