{"id":"W4403423228","doi":"10.46747/cfp.7010671","title":"Dans l’œil de la tempête","year":2024,"lang":"fr","type":"article","venue":"Canadian Family Physician","topic":"Education, Leadership, and Health Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001893075,0.0007575188,0.0004522055,0.0008721827,0.009108415,0.01016118,0.001061232,0.003600033,0.1732977],"category_scores_gemma":[0.007121274,0.0004907757,0.0005972184,0.0007773857,0.004750812,0.008271058,0.004555225,0.01052649,0.06817434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004513734,"about_ca_system_score_gemma":0.00697315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0403016,"about_ca_topic_score_gemma":0.06263966,"domain_scores_codex":[0.9980124,0.0004529425,0.00006137607,0.0002862372,0.0007295596,0.0004574685],"domain_scores_gemma":[0.9972042,0.0003446647,0.0001274966,0.0002218149,0.001121498,0.0009803502],"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":[0.00002431915,0.000015226,0.0003661541,0.00005545224,0.000004762206,0.000163681,0.002151015,0.00002862705,0.0001914171,0.05444945,0.914254,0.02829595],"study_design_scores_gemma":[0.000001654692,0.000002711474,0.0001086876,0.00006007003,9.089449e-7,0.00007543449,0.0007038329,0.000008349944,0.00002904118,0.001803363,0.997201,0.000005030792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002653696,0.01213854,0.003245908,0.3057619,0.05335793,0.00006130034,0.0006877918,0.0009140499,0.6211789],"genre_scores_gemma":[0.03118738,0.006444711,0.002815709,0.07002434,0.008200496,0.00007753481,0.000464572,0.001389117,0.8793961],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1732977,"threshold_uncertainty_score":0.5797384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08978202428600945,"score_gpt":0.3971915969426628,"score_spread":0.3074095726566533,"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."}}