{"id":"W2598844815","doi":"10.1155/2017/4740532","title":"Development of Accident Frequency Models with Random Parameters on Interstate Roadway Segments with and without Lighting Systems","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negative binomial distribution; Transport engineering; Accident (philosophy); Binomial (polynomial); Random variable; Random effects model; Computer science; Econometrics; Statistics; Engineering; Mathematics","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":[0.01634493,0.001388977,0.002132853,0.00248135,0.0008238954,0.002113888,0.005301807,0.002223847,0.003982866],"category_scores_gemma":[0.0339583,0.001978751,0.003912731,0.0018997,0.001271196,0.002970396,0.002216759,0.00345267,0.0008310323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002166592,"about_ca_system_score_gemma":0.002300297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02798267,"about_ca_topic_score_gemma":0.01820248,"domain_scores_codex":[0.991416,0.005391083,0.0003407388,0.001685319,0.0004986557,0.0006682175],"domain_scores_gemma":[0.9649223,0.02834781,0.002522545,0.001853721,0.001929708,0.0004238489],"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":[0.0002054099,0.0001931848,0.01871423,0.00006379557,0.0003917176,0.0001929059,0.0004357628,0.9374267,0.0003606855,0.02708846,0.000576204,0.01435094],"study_design_scores_gemma":[0.0000339969,0.00007166159,0.002407056,0.0000259198,0.00007701552,0.00003421528,0.000143744,0.9849356,0.0001649433,0.01141072,0.0006593042,0.00003583013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3152753,0.0003768536,0.6791208,0.0004641036,0.0001006156,0.0005230218,0.001447142,0.0004705848,0.00222168],"genre_scores_gemma":[0.895265,0.0004230327,0.09425505,0.0001173855,0.00007713529,0.001283833,0.003133404,0.0001671067,0.005278044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02798267,"threshold_uncertainty_score":0.08644134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314249737172931,"score_gpt":0.2250835858024911,"score_spread":0.2119410884307618,"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."}}