{"id":"W3084199187","doi":"10.3390/su12187386","title":"Modeling Collision Probability on Freeway: Accounting for Different Types and Severities in Various LOS","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collision; Bayesian probability; Computer science; Mixed logit; Logistic regression; Statistics; Mathematics; Computer security","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":[0.002578669,0.0008157064,0.0004519646,0.002445959,0.0005116918,0.001198156,0.001277345,0.0006242227,0.001673691],"category_scores_gemma":[0.009220096,0.0005316049,0.001105958,0.002131737,0.0004783331,0.002438668,0.00131889,0.0007160495,0.0002343234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394658,"about_ca_system_score_gemma":0.001836622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04418227,"about_ca_topic_score_gemma":0.05306992,"domain_scores_codex":[0.9987069,0.0002961778,0.0001160825,0.0003198444,0.0003710807,0.0001898463],"domain_scores_gemma":[0.9957922,0.001861678,0.001169303,0.0002639302,0.0006769875,0.0002359262],"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":[0.0001680898,0.0001876079,0.7275838,0.00005643942,0.0001654245,0.0001614284,0.0002443955,0.2507974,0.0003671069,0.002364011,0.0003579993,0.01754609],"study_design_scores_gemma":[0.00002197851,0.0003049319,0.2086696,0.00003242422,0.0001563896,0.0002359701,0.0006448318,0.7840205,0.0004453941,0.004313079,0.001096414,0.00005839027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378705,0.0001938051,0.05921775,0.0001095817,0.00001535699,0.0001604101,0.0008372395,0.000134505,0.001460879],"genre_scores_gemma":[0.9908217,0.0001044723,0.007006396,0.00001365575,0.000007875728,0.00006804357,0.0009413527,0.00001296192,0.001023506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04418227,"threshold_uncertainty_score":0.08785021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185155960834906,"score_gpt":0.2175792060170754,"score_spread":0.2057276464087263,"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."}}