{"id":"W4407715464","doi":"10.1503/cmaj.241795","title":"Everything but love","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data science; World Wide Web; Medicine","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":[0.003240844,0.0006892215,0.0008557184,0.0005444014,0.01604838,0.01057314,0.0009484491,0.002680016,0.05195664],"category_scores_gemma":[0.01045021,0.0003722038,0.0003456121,0.0005054019,0.01466468,0.009535861,0.008701923,0.0135139,0.03181922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003200679,"about_ca_system_score_gemma":0.006206722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0140156,"about_ca_topic_score_gemma":0.02556676,"domain_scores_codex":[0.9949759,0.002135776,0.00008236203,0.0005605242,0.001281459,0.0009640477],"domain_scores_gemma":[0.9934031,0.0005222439,0.0002606866,0.0005414754,0.001647549,0.003625015],"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":[0.00004092512,0.000132853,0.001970434,0.00009850766,0.00002856916,0.0003889208,0.06066909,0.00004979762,0.0005674641,0.1835816,0.7048907,0.04758121],"study_design_scores_gemma":[0.000005351325,0.00001504207,0.0004993865,0.00009854339,0.000003860761,0.0002420721,0.01527443,0.00001130622,0.00004977931,0.01346509,0.9703211,0.00001416205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.008719198,0.007562292,0.002814621,0.2219134,0.01722128,0.0000955266,0.0002698275,0.0002807893,0.7411231],"genre_scores_gemma":[0.1828515,0.005522559,0.002394601,0.1320558,0.003574445,0.0001673385,0.0002629514,0.0005166605,0.672654],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05195664,"threshold_uncertainty_score":0.1738123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105907892713954,"score_gpt":0.2874010276793214,"score_spread":0.276810238407926,"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."}}