{"id":"W2897355667","doi":"10.1016/j.jtte.2018.04.002","title":"Using random-parameter and fixed-parameter ordered models to explore temporal stability in factors affecting drivers' injury severity in single-vehicle collisions","year":2018,"lang":"en","type":"article","venue":"Journal of Traffic and Transportation Engineering (English Edition)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Emirates Foundation","keywords":"Ordered logit; Logistic regression; Stability (learning theory); Statistics; Poison control; Occupancy; Injury prevention; Regression analysis; Environmental science; Computer science; Mathematics; Medicine; Engineering; Environmental health; Machine learning","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":[0.0003328766,0.0002391294,0.0004241914,0.0003975479,0.00006647734,0.00004482335,0.00007672854,0.0001505981,0.00001383143],"category_scores_gemma":[0.0001052885,0.0002348289,0.00008196057,0.0004275476,0.00005554599,0.0008675249,0.000005123756,0.0003877483,2.287799e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199495,"about_ca_system_score_gemma":0.00003080679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001605583,"about_ca_topic_score_gemma":0.0001849919,"domain_scores_codex":[0.998585,0.00003484019,0.0006752588,0.0002047802,0.0002226776,0.0002773842],"domain_scores_gemma":[0.9991986,0.0002765334,0.00008846312,0.00009125361,0.0001579308,0.0001872822],"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":[0.0001653032,0.0001022385,0.01680198,0.0001104307,0.00004125455,0.00001747796,0.02095368,0.960318,0.000594838,0.000007292682,0.00003460062,0.0008529444],"study_design_scores_gemma":[0.003820827,0.0003446615,0.3487638,0.0005383929,0.00008331393,0.00001240886,0.005506272,0.638553,0.001646465,0.00003183049,0.0001196408,0.0005793194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644845,0.00006883837,0.03420584,0.00001521007,0.0008500078,0.0002359873,0.00004026873,0.00009245911,0.000006892322],"genre_scores_gemma":[0.9931171,0.00003242175,0.006584371,0.000009394634,0.0002038569,0.000004248866,0.00001555478,0.0000324965,5.59438e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3319619,"threshold_uncertainty_score":0.9576045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098037167183175,"score_gpt":0.2342752141539224,"score_spread":0.2032948424820907,"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."}}