{"id":"W7117785786","doi":"10.47310/iarjfma.2023.v03i01.002","title":"Assessment of road traffic accidents in Baghdad.","year":2023,"lang":"","type":"article","venue":"IAR Journal of Forensic Medicine and Anatomy","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Statistical analysis; Road traffic; Injury prevention; Sample (material); Poison control; Quarter (Canadian coin); Traffic accident","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":[0.000640853,0.0004587476,0.000260928,0.00332707,0.001152188,0.0008184548,0.0005916483,0.0004035329,0.003706596],"category_scores_gemma":[0.000934155,0.0002397783,0.0003361306,0.001578792,0.0001889806,0.0004101735,0.0007712091,0.000423248,0.001270984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227406,"about_ca_system_score_gemma":0.001022713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226819,"about_ca_topic_score_gemma":0.04061062,"domain_scores_codex":[0.9994414,0.00009557859,0.00008421469,0.00005447109,0.0002290844,0.00009518227],"domain_scores_gemma":[0.9993598,0.00003055829,0.0002206368,0.00001406146,0.0002945877,0.00008033189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009047968,0.0001817663,0.9588978,0.0002089025,0.00005145204,0.0006967934,0.001373265,0.0002607568,0.0006463787,0.0001436185,0.005346045,0.03210269],"study_design_scores_gemma":[0.000002392939,0.0001333202,0.993185,0.00004909401,0.00001452793,0.0007411698,0.001980112,0.000157497,0.0001252929,0.00003728007,0.003562712,0.00001171935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754505,0.003107167,0.0006985334,0.0006316386,0.0001904622,0.0002724631,0.006086665,0.0001031049,0.01345955],"genre_scores_gemma":[0.9852792,0.002050371,0.001254339,0.0002242071,0.00006981413,0.0001529623,0.003707173,0.000006142703,0.00725588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02226819,"threshold_uncertainty_score":0.04427719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288957386781819,"score_gpt":0.4004412683968772,"score_spread":0.367551694529059,"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."}}