{"id":"W2226041479","doi":"10.5539/gjhs.v8n9p149","title":"The Pattern of Road Traffic Crashes in South East Iran","year":2016,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Crash; Enforcement; Seat belt; Demographics; Descriptive statistics; Road traffic; Law enforcement; Poison control; Transport engineering; Geography; Demography; Environmental health; Business; Medicine; Engineering; Statistics; Law; Political science; Computer science; Automotive engineering; Sociology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001202356,0.00007038773,0.0001651255,0.00005465858,0.000106431,0.00001535902,0.0004489872,0.00002111743,0.000003643313],"category_scores_gemma":[0.00002579357,0.00003470223,0.00004463881,0.0003768441,0.000248903,0.0001595248,0.00001984613,0.00008922598,0.000006960993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676326,"about_ca_system_score_gemma":0.000261338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001308902,"about_ca_topic_score_gemma":0.00005765076,"domain_scores_codex":[0.998699,0.00002309183,0.0005136735,0.00007563921,0.0003448566,0.0003437028],"domain_scores_gemma":[0.9995378,0.00001993362,0.0001647631,0.0001126446,0.00005646895,0.0001083407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001260756,0.00002007173,0.05583995,0.00002478359,0.000004760603,0.000003842821,0.0006493917,0.01405102,0.0001533551,0.00004063425,0.0002071435,0.9289925],"study_design_scores_gemma":[0.0005282714,0.00009751597,0.9966134,0.0002529167,0.0000018425,0.00008387545,0.0007186568,0.001164397,0.00004578477,0.00002640152,0.0003987898,0.00006818473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946351,0.001571453,0.001984692,0.0008810934,0.0007027004,0.0000512578,0.000007206919,0.00001399532,0.0001525211],"genre_scores_gemma":[0.9996684,0.0001860085,0.00007741213,0.00002841554,0.00003301077,2.69408e-7,2.461217e-8,0.00000289887,0.000003622225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9407734,"threshold_uncertainty_score":0.1415116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744298272861474,"score_gpt":0.2600430690110512,"score_spread":0.2426000862824364,"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."}}