{"id":"W4409865425","doi":"10.1503/cmaj.241795-f","title":"Tout, sauf l’amour","year":2025,"lang":"de","type":"article","venue":"Canadian Medical Association Journal","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003525298,0.0009495459,0.0008581955,0.001162724,0.007801602,0.01306385,0.001189481,0.005179143,0.1111693],"category_scores_gemma":[0.0187333,0.0004393604,0.0007217574,0.0008143636,0.005870092,0.01075789,0.00522483,0.01120305,0.06097735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00526073,"about_ca_system_score_gemma":0.006549604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01796508,"about_ca_topic_score_gemma":0.02309244,"domain_scores_codex":[0.9951026,0.001483814,0.0001368909,0.000817601,0.001747901,0.0007111022],"domain_scores_gemma":[0.994954,0.0007720306,0.0004062905,0.0005988438,0.002133842,0.001134918],"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":[0.00006318818,0.00003039691,0.000761183,0.000119203,0.00002284115,0.0003058686,0.002624872,0.00003065475,0.0003382769,0.06851725,0.8745362,0.05265008],"study_design_scores_gemma":[0.000003887749,0.00000745502,0.0001698424,0.0001438269,0.00000348182,0.0002690852,0.0009429616,0.00001602124,0.00007551401,0.004165236,0.9941934,0.000009454896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003742456,0.03680775,0.002585186,0.6235919,0.05913242,0.00004939853,0.000602092,0.0005937286,0.272895],"genre_scores_gemma":[0.05972647,0.02091318,0.003948728,0.1840027,0.02091154,0.00009664051,0.0005809883,0.001367798,0.7084519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1111693,"threshold_uncertainty_score":0.3718984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943512269037264,"score_gpt":0.3581795474024331,"score_spread":0.3387444247120605,"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."}}