{"id":"W4389096866","doi":"10.1177/03611981231203219","title":"Spatiotemporal Evaluation of Injury Severity of Expressway Rear-End Crashes in China: Insights Using Random Parameters Approaches","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Crash; Statistics; Environmental science; Econometrics; Truck; Random effects model; Logistic regression; Transferability; Logit; Mathematics; Computer science; Engineering; 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":[0.00371543,0.0008112878,0.0006016888,0.002866319,0.0003030633,0.0009646873,0.001363299,0.0006316518,0.001540648],"category_scores_gemma":[0.006688123,0.0004012576,0.001954851,0.001805653,0.0005227869,0.00138696,0.001190142,0.0004845188,0.0001895021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593851,"about_ca_system_score_gemma":0.001147149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05122017,"about_ca_topic_score_gemma":0.02758592,"domain_scores_codex":[0.9985285,0.0005633972,0.0001509058,0.0003962868,0.0002105105,0.0001504192],"domain_scores_gemma":[0.9970961,0.00126504,0.0006805559,0.0003468272,0.0004743334,0.0001370825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001418779,0.0001454849,0.7911291,0.0001574488,0.0006222052,0.0008517739,0.0005701255,0.1756336,0.001416257,0.003527102,0.0005051336,0.02529998],"study_design_scores_gemma":[0.00001575062,0.0001691407,0.4213991,0.00003420131,0.0003066191,0.0001658828,0.0009550395,0.5717557,0.0006265512,0.003830243,0.0006764108,0.00006530949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705279,0.0003436144,0.02713431,0.0002112836,0.000007417513,0.00006944581,0.0008347182,0.0000722441,0.0007989467],"genre_scores_gemma":[0.9969094,0.0001355754,0.001820851,0.00001368371,0.000005982356,0.00003676627,0.0006418665,0.000007373506,0.000428499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05122017,"threshold_uncertainty_score":0.1018441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1674478128229324,"score_gpt":0.3687878411696995,"score_spread":0.2013400283467671,"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."}}