MétaCan
Menu
Back to cohort
Record W1770715295 · doi:10.1016/j.cjca.2015.09.010

Sex Profile and Risk Assessment With Cardiopulmonary Exercise Testing in Heart Failure: Propensity Score Matching for Sex Selection Bias

2015· article· en· W1770715295 on OpenAlexvenueno aff
Ugo Corrà, Piergiuseppe Agostoni, Andrea Giordano, Gaia Cattadori, Elisa Battaia, Rocco La Gioia, Angela Beatrice Scardovi, Michele Emdin, Marco Metra, Gianfranco Sinagra, Giuseppe Limongelli, Rosa Raimondo, Federica Re, Marco Guazzi, Romualdo Belardinelli, Gianfranco Parati, Damiano Magrì, Cesare Fiorentini, Mariantonietta Cicoira, Elisabetta Salvioni, Marta Giovannardi, Fabrizio Veglia, Alessandro Mezzani, Domenico Scrutinio, Andrea Di Lenarda, Roberto Ricci, Anna Apostolo, Anna Maria Iorio, Stefania Paolillo, Pietro Palermo, Mauro Contini, Corrado Vassanelli, Claudio Passino, Pantaleo Giannuzzi, Massimo Piepoli

Bibliographic record

VenueCanadian Journal of Cardiology · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePropensity score matchingSelection (genetic algorithm)Selection biasMatching (statistics)Internal medicineHeart failureCardiologyMachine learningPathology

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)0.029
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.029
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.054
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.262
Teacher spread0.210 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations23
Published2015
Admission routes1
Has abstractno

Explore more

Same venueCanadian Journal of CardiologySame topicCardiovascular and exercise physiologyFrench-language works237,207