{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0204308,0.001485938,0.001954174,0.003717669,0.005761785,0.01615785,0.0030589,0.005847773,0.05447262],"category_scores_gemma":[0.145284,0.0009808554,0.002682413,0.002959722,0.007199829,0.009614963,0.007432709,0.01684948,0.03775384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008301065,"about_ca_system_score_gemma":0.01181931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0347712,"about_ca_topic_score_gemma":0.0171589,"domain_scores_codex":[0.9467636,0.02846557,0.003723144,0.004113475,0.01526038,0.001673805],"domain_scores_gemma":[0.9245443,0.04694872,0.003009211,0.005042591,0.01854996,0.001905199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003642503,0.00005094216,0.0007963802,0.001913689,0.0001370875,0.001251036,0.01153483,0.0002777904,0.001686947,0.04403635,0.7644489,0.1735017],"study_design_scores_gemma":[0.00001089897,0.000009813612,0.0001618074,0.0004485785,0.000007394201,0.0004796119,0.0007642134,0.00004416532,0.0001908569,0.001140465,0.9967182,0.00002397083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007250494,0.2041549,0.03280174,0.4076113,0.1674981,0.0003660825,0.007766443,0.006342082,0.1662087],"genre_scores_gemma":[0.1412053,0.1814477,0.0416376,0.2042322,0.09649656,0.001987749,0.009871188,0.01202475,0.311097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05447262,"threshold_uncertainty_score":0.1822291,"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."}}