{"id":"W7118851199","doi":"10.1051/medsci/2025230","title":"Du silence aux données","year":2025,"lang":"fr","type":"article","venue":"médecine/sciences","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silence; Population; Quarter (Canadian coin); Cohort; Mental health; Digital health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001202745,0.0003603339,0.0005454207,0.0003414323,0.001159101,0.0001551057,0.0004550523,0.000170955,0.001737638],"category_scores_gemma":[0.0008593549,0.0002673316,0.00003352427,0.001498547,0.001453157,0.0003483676,0.0001476498,0.0002487593,0.0008024492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335392,"about_ca_system_score_gemma":0.002059049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949385,"about_ca_topic_score_gemma":0.00008622142,"domain_scores_codex":[0.9967002,0.0001511494,0.0005892852,0.0007236706,0.0006308914,0.00120481],"domain_scores_gemma":[0.9982325,0.0006367953,0.0001587758,0.0003972367,0.000124221,0.0004504133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002699335,0.002647761,0.4946103,0.002381184,0.000345672,0.0005435119,0.001174653,0.0001725782,0.002885385,0.2657279,0.1106015,0.1186396],"study_design_scores_gemma":[0.01584668,0.01765898,0.4071431,0.01122661,0.001295093,0.0002690791,0.002742247,0.004356016,0.002873031,0.02459766,0.5110284,0.0009631544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5889674,0.1439068,0.0003432968,0.1071905,0.009798118,0.0009315024,0.00005009294,0.0001188516,0.1486935],"genre_scores_gemma":[0.9293599,0.007116016,0.00132994,0.007187529,0.0009447518,0.00003328898,0.000005261579,0.00001538259,0.05400796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4004269,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07407877397227694,"score_gpt":0.3763455412617511,"score_spread":0.3022667672894742,"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."}}