{"id":"W2018568397","doi":"10.3141/2148-05","title":"Revisiting Variability of Dispersion Parameter of Safety Performance for Two-Lane Rural Roads","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Custom Security Industries (Canada); Toronto Metropolitan University","funders":"","keywords":"Dispersion (optics); Negative binomial distribution; Statistics; Bayes' theorem; Poisson distribution; Variable (mathematics); Poisson regression; Mathematics; Variation (astronomy); Regression analysis; Magnitude (astronomy); Estimation theory; Regression; Econometrics; Bayesian probability; Physics; Mathematical analysis; Population; Optics","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":[0.009221879,0.0004758924,0.0006308402,0.001992761,0.0003670879,0.001832184,0.001245537,0.001048737,0.001821545],"category_scores_gemma":[0.04741505,0.0002857173,0.0009881661,0.002011627,0.001304195,0.002946067,0.001372305,0.001610828,0.0003576811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231269,"about_ca_system_score_gemma":0.0005279804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006914131,"about_ca_topic_score_gemma":0.004145866,"domain_scores_codex":[0.99458,0.002438148,0.0003298529,0.001343831,0.001038064,0.0002702125],"domain_scores_gemma":[0.9357752,0.04316444,0.00655413,0.01024825,0.003923822,0.0003342498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000459991,0.0002182141,0.6901509,0.0001659,0.0004908015,0.0008360121,0.003381978,0.2078238,0.003599704,0.02907354,0.001609279,0.06218988],"study_design_scores_gemma":[0.00001760353,0.0003371598,0.5526221,0.00008064232,0.0001048428,0.000649083,0.002271032,0.4046256,0.00264808,0.03293662,0.003572615,0.000134654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559367,0.0002575177,0.0399493,0.000233639,0.00001848668,0.00003856686,0.0005251908,0.00008898046,0.002951706],"genre_scores_gemma":[0.9981945,0.00003083277,0.001196556,0.000007378858,0.000006107688,0.000009127432,0.0002725792,0.00001461272,0.0002683726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009221879,"threshold_uncertainty_score":0.04877055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221985481143246,"score_gpt":0.328487623238818,"score_spread":0.2962677684273855,"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."}}