{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002248261,0.00005729626,0.0001156881,0.0001388938,0.0007917113,0.0001916746,0.0001882001,0.0002199782,0.003494332],"category_scores_gemma":[0.005869801,0.0000551118,0.00006803132,0.0002704062,0.00006368735,0.0001740927,0.00001283162,0.0004666981,0.000409631],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009362303,"about_ca_system_score_gemma":0.006325658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02970165,"about_ca_topic_score_gemma":0.4388995,"domain_scores_codex":[0.9981022,0.0002208507,0.0002108156,0.00007528833,0.0009362436,0.0004546187],"domain_scores_gemma":[0.998426,0.0002650137,0.00008368603,0.00004340258,0.0002573448,0.0009245914],"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":[0.000002593486,0.00001461975,0.2157335,0.000003465102,0.0001229621,0.0001161979,0.0173475,0.00000118019,0.00000110848,0.01382243,0.6918301,0.06100433],"study_design_scores_gemma":[0.0002374682,0.000006616384,0.03125661,0.00004772987,0.00001201229,0.000005122392,0.01860114,0.000006543316,0.000001630092,0.003026,0.9467279,0.00007119121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1066606,0.0005210757,0.0001442581,0.2694557,0.002244951,0.00006903661,0.000006967099,0.00001962044,0.6208777],"genre_scores_gemma":[0.9282535,0.0003099563,0.00004939745,0.03570675,0.001718219,8.535018e-7,7.511371e-7,0.000004209069,0.03395636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8215929,"threshold_uncertainty_score":0.9993076,"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."}}