{"id":"W2121483234","doi":"10.1016/j.aap.2012.05.018","title":"An empirical tool to evaluate the safety of cyclists: Community based, macro-level collision prediction models using negative binomial regression","year":2012,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":156,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Negative binomial distribution; Intersection (aeronautics); Macro; Transport engineering; Poison control; Collision; Generalized linear model; Regression analysis; Binomial regression; Linear regression; Predictive modelling; Engineering; Statistics; Geography; Computer science; Mathematics; Computer security; 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":[0.01525377,0.001118058,0.0009330204,0.003071603,0.0008289061,0.001107081,0.002581273,0.001444135,0.002619718],"category_scores_gemma":[0.06577115,0.0003147217,0.0007518801,0.002705919,0.0007560952,0.00181766,0.001434946,0.001593546,0.0005834856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006393142,"about_ca_system_score_gemma":0.001253966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01517768,"about_ca_topic_score_gemma":0.0122975,"domain_scores_codex":[0.9938968,0.004246343,0.000238452,0.0005535079,0.0008955286,0.0001694312],"domain_scores_gemma":[0.9511422,0.03895959,0.002995057,0.002232988,0.003736299,0.0009339571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009222624,0.00193891,0.8687896,0.00009146146,0.0007744462,0.00008953185,0.0003699319,0.09645973,0.0002297252,0.00166212,0.001036507,0.02763584],"study_design_scores_gemma":[0.0001492548,0.002498599,0.1247702,0.00006691836,0.0003503178,0.0001374257,0.0009949246,0.8676431,0.0004693987,0.002383406,0.0004851528,0.000051347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707838,0.0001139681,0.02628756,0.0001188433,0.00003254433,0.0001724544,0.0008129621,0.0001062004,0.001571637],"genre_scores_gemma":[0.9872655,0.00005098258,0.01092013,0.00002813875,0.00001379166,0.0002134815,0.001070715,0.00001502344,0.0004222408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01525377,"threshold_uncertainty_score":0.0806706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07618273270099657,"score_gpt":0.3511874153737393,"score_spread":0.2750046826727427,"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."}}