{"id":"W4283701543","doi":"10.1139/cjce-2022-0197","title":"Injury severity assessment of rear-end crashes via approaches based on generalized estimating equations","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Econometrics; Generalized estimating equation; Context (archaeology); Gee; Statistics; Environmental science; Mathematics; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007910662,0.001593544,0.001757427,0.003997184,0.000366917,0.001517582,0.001764224,0.0009028285,0.001614753],"category_scores_gemma":[0.02216377,0.0007160276,0.003729299,0.003309695,0.0003616719,0.001335716,0.001766508,0.001391465,0.0003446976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078593,"about_ca_system_score_gemma":0.00252186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03409027,"about_ca_topic_score_gemma":0.02990416,"domain_scores_codex":[0.9928572,0.004885774,0.0005197081,0.0009866316,0.0005384068,0.0002122893],"domain_scores_gemma":[0.9912612,0.005768659,0.001413184,0.000584211,0.0008754478,0.00009726428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002105388,0.0007259978,0.2161789,0.0008226833,0.004922216,0.0006643521,0.001806255,0.4275383,0.00199059,0.03331997,0.002589987,0.3092303],"study_design_scores_gemma":[0.00002292408,0.000188282,0.0299872,0.00007967141,0.0003836984,0.0001016032,0.0003664686,0.9532548,0.0003162566,0.01405881,0.001170274,0.00006994481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08814637,0.0005689596,0.909035,0.0001482255,0.00002242977,0.0003279388,0.0006318455,0.000387594,0.0007315967],"genre_scores_gemma":[0.6247604,0.0009700616,0.3701617,0.0000712457,0.0000486834,0.0006317003,0.002238859,0.0000835608,0.001033745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03409027,"threshold_uncertainty_score":0.06778371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853885448679331,"score_gpt":0.2107878213282076,"score_spread":0.1922489668414143,"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."}}