{"id":"W4406462842","doi":"10.3390/app15020838","title":"Traffic Collision Severity Modeling Using Multi-Level Multinomial Logistic Regression Model","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Multinomial logistic regression; Logistic regression; Collision; Statistics; Computer science; Computer security; Mathematics","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":[0.005523942,0.00117765,0.001352196,0.002224843,0.000677774,0.00190718,0.003044196,0.00133331,0.004401937],"category_scores_gemma":[0.01070025,0.0007959491,0.00291154,0.002348564,0.0004986274,0.001246252,0.001712244,0.002247361,0.001202114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112361,"about_ca_system_score_gemma":0.001836905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0302022,"about_ca_topic_score_gemma":0.02151219,"domain_scores_codex":[0.9967194,0.001640156,0.0002045158,0.0007768497,0.0002963491,0.0003627203],"domain_scores_gemma":[0.9954879,0.002886458,0.0006216182,0.0002858452,0.0005678302,0.0001503814],"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":[0.0005801895,0.0006496739,0.2273777,0.0002914815,0.0007205401,0.0009373004,0.0005715746,0.6825123,0.001026059,0.01731045,0.005992928,0.06202991],"study_design_scores_gemma":[0.00001940241,0.0000756571,0.007450915,0.00002617216,0.00006419214,0.00008319464,0.0001037153,0.987571,0.00009688177,0.003334616,0.001150435,0.00002390528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4076685,0.001245946,0.5789467,0.0013133,0.0002580791,0.0007070216,0.005648545,0.001273459,0.002938514],"genre_scores_gemma":[0.898111,0.0008185175,0.08613529,0.0001848965,0.0001612075,0.0008929665,0.005348778,0.0001189609,0.008228283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0302022,"threshold_uncertainty_score":0.06005281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1252338095660595,"score_gpt":0.3163092424147347,"score_spread":0.1910754328486752,"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."}}