{"id":"W4407275965","doi":"10.1016/j.aap.2025.107919","title":"Exploration of the tram-involved crashes’ characteristics and contributing factors to fatality in tram crashes in Japan","year":2025,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Central South University; National Natural Science Foundation of China","keywords":"Poison control; Engineering; Transport engineering; Occupational safety and health; Human factors and ergonomics; Injury prevention; Suicide prevention; Forensic engineering; Environmental health; Medicine","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":[0.0006855599,0.0006599834,0.0005661824,0.002842885,0.001562162,0.001050759,0.0007591351,0.0005551203,0.001468133],"category_scores_gemma":[0.001305635,0.0006471411,0.001220597,0.002606722,0.000390778,0.001098528,0.0009030513,0.0006531386,0.0001907468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011956,"about_ca_system_score_gemma":0.001893576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07590549,"about_ca_topic_score_gemma":0.1226564,"domain_scores_codex":[0.9994959,0.00006567504,0.0001184059,0.0001079114,0.0000782142,0.0001339114],"domain_scores_gemma":[0.9987699,0.0001043512,0.0004011974,0.00004761718,0.0004094339,0.0002673532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002330241,0.00004027056,0.9974879,0.00002234373,0.00005678226,0.0001802404,0.0007377282,0.00006068595,0.0001590834,0.00002102896,0.0001322281,0.001078475],"study_design_scores_gemma":[0.000001506116,0.00002189767,0.9953462,0.0000091918,0.00005651313,0.000174681,0.003881726,0.0002529127,0.00002873365,0.00002323726,0.0001939251,0.000009412568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992467,0.0001907853,0.00008391403,0.00005622301,0.000007122218,0.000009468975,0.0001454096,0.000002372883,0.0002580176],"genre_scores_gemma":[0.998895,0.0002817941,0.0001086177,0.00002916685,0.00001717374,0.00001384962,0.0003421095,0.000003296273,0.0003091065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07590549,"threshold_uncertainty_score":0.1509274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388830957948679,"score_gpt":0.2590449866706838,"score_spread":0.245156677091197,"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."}}