{"id":"W2963946165","doi":"10.6084/m9.figshare.8273153.v3","title":"Alberta Mortality, Morbidity, and Utilization Hazard Rates","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jurisdiction; Hazard; Health care; Dozen; Geopolitics; Business; Environmental health; Medicine; Economics; Economic growth; Political science","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":[0.001045305,0.0004651536,0.0002597965,0.004417166,0.0008578006,0.0009018049,0.0009238053,0.0002722374,0.005554067],"category_scores_gemma":[0.003521378,0.0002479593,0.0005116333,0.00515047,0.0002671168,0.0002565303,0.0007041429,0.0006310251,0.0009922633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01005968,"about_ca_system_score_gemma":0.01623585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9514142,"about_ca_topic_score_gemma":0.9650691,"domain_scores_codex":[0.9987515,0.00009740079,0.00005793375,0.0001043532,0.0007819156,0.0002068922],"domain_scores_gemma":[0.998018,0.000128834,0.0002291037,0.00008280157,0.001263016,0.0002781591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000344788,0.000100622,0.7336506,0.0002775835,0.0002979097,0.0001905169,0.0006124576,0.005354871,0.0003971804,0.003373423,0.2132411,0.04215896],"study_design_scores_gemma":[0.00003399276,0.00004333352,0.9603041,0.00009949962,0.00007088607,0.000131004,0.0005837968,0.002344776,0.0002169314,0.0005130418,0.0356194,0.00003909026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3457132,0.002586597,0.003597698,0.001819635,0.0002454309,0.0003985482,0.5687012,0.0007453922,0.07619219],"genre_scores_gemma":[0.6635008,0.002985981,0.004035007,0.0006661728,0.0001349683,0.000375481,0.2933401,0.0001158094,0.03484572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04858583,"threshold_uncertainty_score":0.09774387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2483070334649588,"score_gpt":0.4663706144461654,"score_spread":0.2180635809812066,"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."}}