{"id":"W4409404196","doi":"10.1503/cmaj.241513","title":"Menstrual equity in Canada","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Equity (law); Computer science; Data science; Medicine; World Wide Web; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001033114,0.00007529967,0.0002165314,0.0002043096,0.0001165816,0.00001692084,0.00009909348,0.0001846727,0.002738842],"category_scores_gemma":[0.001920081,0.00007103998,0.00003483944,0.0003356509,0.00001417884,0.00003483532,0.00001357696,0.000882474,0.00002167963],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008788442,"about_ca_system_score_gemma":0.09826024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9681478,"about_ca_topic_score_gemma":0.9993996,"domain_scores_codex":[0.9978582,0.00007678555,0.0004163945,0.0001035029,0.0009829736,0.0005621845],"domain_scores_gemma":[0.9976945,0.0001095523,0.00007718083,0.00006791732,0.0001674625,0.001883371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001798629,0.00001357924,0.6005232,0.00003204742,0.00002744884,0.0006208985,0.0000435984,0.000001828599,9.257318e-7,0.0005224872,0.2845156,0.1136805],"study_design_scores_gemma":[0.003023446,0.00003939059,0.5041711,0.0002512953,0.00001879472,0.0002054178,0.001259121,0.0004151415,0.000006805913,0.0005218891,0.4899767,0.0001108583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.728553,0.0004241348,0.0000223384,0.14142,0.001975387,0.0001773838,0.0000159357,0.000008204895,0.1274036],"genre_scores_gemma":[0.9387778,0.00008270935,0.00004549981,0.05990887,0.0002709394,0.000003179498,0.000006210232,0.000004445206,0.0009003727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2102248,"threshold_uncertainty_score":0.9981728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157128437098076,"score_gpt":0.3154912086343851,"score_spread":0.3039199242634043,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}