{"id":"W3135395668","doi":"10.1016/j.heliyon.2021.e06440","title":"Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh","year":2021,"lang":"en","type":"article","venue":"Heliyon","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Road traffic; Injury prevention; Injury Severity Score; Occupational safety and health; Poison control; Head injury; Public health; Emergency medicine; Medical emergency; Physical therapy; Surgery; Nursing; Transport engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002752749,0.0001891238,0.0002131347,0.0007828272,0.0005600832,0.0005206076,0.0003188085,0.0003309857,0.002206624],"category_scores_gemma":[0.001089921,0.0002173012,0.0001930401,0.001380827,0.0003093383,0.0004245532,0.0004886911,0.0003196552,0.0002868393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007654633,"about_ca_system_score_gemma":0.0005986178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01972038,"about_ca_topic_score_gemma":0.02467208,"domain_scores_codex":[0.9996568,0.00006398333,0.00008999214,0.00005856615,0.00005267102,0.00007798798],"domain_scores_gemma":[0.9993815,0.00006068831,0.0003134562,0.00001812834,0.0001016169,0.0001245718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001292808,0.00001396338,0.9985824,0.00001369544,0.000006767795,0.0001233108,0.0003794565,0.00001423258,0.00008347541,0.000009973956,0.00005305544,0.0007066174],"study_design_scores_gemma":[0.000001672296,0.00006155374,0.9952484,0.00002021485,0.000005364639,0.0004162058,0.003991184,0.00004513166,0.00003586442,0.00001871125,0.0001512481,0.000004520314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990288,0.00008701823,0.00002488641,0.00009547327,0.000002014799,0.00001154606,0.0003037771,9.329917e-7,0.0004455805],"genre_scores_gemma":[0.9995555,0.0001459321,0.00002177672,0.00001932686,0.000001509583,0.000008183625,0.0001584684,3.436991e-7,0.00008893281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01972038,"threshold_uncertainty_score":0.03921115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008995160514800002,"score_gpt":0.2602736597732096,"score_spread":0.2512784992584096,"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."}}