{"id":"W4403747931","doi":"10.5592/co/cetra.2024.1664","title":"Analysis of crash severity at intersections and roundabouts using ordered and generalized ordered probit models","year":2024,"lang":"en","type":"article","venue":"Road and rail infrastructure","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Ordered probit; Crash; Probit; Probit model; Econometrics; Computer science; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005680404,0.0001955699,0.0003445981,0.0002264213,0.0001348582,0.00007446916,0.0000440221,0.000156259,0.00006257248],"category_scores_gemma":[0.000004156268,0.0001595019,0.00006844824,0.0004755981,0.000103797,0.0001846661,0.00007281298,0.0001667839,2.301608e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004492267,"about_ca_system_score_gemma":0.00001848912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001438543,"about_ca_topic_score_gemma":0.0003934262,"domain_scores_codex":[0.9992332,0.00002134086,0.0002256258,0.000256313,0.00008937212,0.0001740844],"domain_scores_gemma":[0.9997147,0.00001774047,0.00002596164,0.0001235492,0.00003138331,0.00008665326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004983104,0.00001340284,0.01035041,0.0007022357,0.002890881,0.00001215615,0.007762553,0.9302347,0.01016131,0.0006228323,0.0005525774,0.03664714],"study_design_scores_gemma":[0.0003154098,0.00001239307,0.05332309,0.000043321,0.0005250588,0.00004647215,0.000157865,0.9440965,0.00006912512,0.0004053426,0.0008114073,0.0001939908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858478,0.002890733,0.01041493,0.00003531521,0.0002184793,0.0001183586,0.0001038672,0.0001632841,0.0002072851],"genre_scores_gemma":[0.9974347,0.000594642,0.001737523,0.00001607965,0.00004523519,0.000003082353,0.00003057393,0.00002321854,0.000114909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04297268,"threshold_uncertainty_score":0.6504297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008987239682035497,"score_gpt":0.2214947739770523,"score_spread":0.2125075342950168,"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."}}