{"id":"W2050847622","doi":"10.1016/j.aap.2004.05.001","title":"Long term medical costs of motor vehicle casualties in Alberta (1999): a population – based, incidence approach","year":2004,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics; Alberta Health; University of Alberta","funders":"","keywords":"Medicine; Population; Medical emergency; Occupational safety and health; Poison control; Injury prevention; Emergency medicine; Emergency department; Observational study; Incidence (geometry); Medical record; Environmental health; Surgery; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001168618,0.0007311274,0.0005464413,0.003430063,0.0009630756,0.001415131,0.002348098,0.0008777777,0.001356641],"category_scores_gemma":[0.002303612,0.0005911089,0.001334322,0.004986351,0.0007812332,0.0007477218,0.001083713,0.001256733,0.0001969858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01220081,"about_ca_system_score_gemma":0.005961224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9060305,"about_ca_topic_score_gemma":0.9176622,"domain_scores_codex":[0.9991732,0.0001517779,0.0000651305,0.00009904997,0.0003315315,0.0001793134],"domain_scores_gemma":[0.9984989,0.000191494,0.0003400003,0.00007776983,0.0005412054,0.0003506008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003117252,0.00008742438,0.995538,0.00002201273,0.0002223981,0.0001165295,0.0001333674,0.001274367,0.0001336988,0.0001117952,0.0003329068,0.001715785],"study_design_scores_gemma":[0.00001326399,0.00007146694,0.9979638,0.000006780795,0.0001045411,0.00009010571,0.0003718934,0.001091741,0.00003361134,0.00004571503,0.0001981739,0.000008848599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951541,0.0004728333,0.0002668308,0.00007024557,0.000009248291,0.00002857495,0.00313783,0.00001338784,0.0008469475],"genre_scores_gemma":[0.995078,0.0003878882,0.000249524,0.00003336324,0.00001565369,0.00002018845,0.003152683,0.000003896228,0.001058872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9060305,"threshold_uncertainty_score":0.1890458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00747837752240725,"score_gpt":0.2475669354639571,"score_spread":0.2400885579415499,"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."}}