{"id":"W1963921144","doi":"10.1016/j.aap.2014.05.015","title":"Multimodal injury risk analysis of road users at signalized and non-signalized intersections","year":2014,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Pedestrian; Transport engineering; Intersection (aeronautics); Poison control; Geometric design; Traffic flow (computer networking); Poisson regression; Pedestrian crossing; Engineering; Computer science; Computer security; Population; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004069172,0.0003909123,0.0003838606,0.001780865,0.0003923906,0.0007137144,0.0003913375,0.0004966003,0.004898232],"category_scores_gemma":[0.00172735,0.0001637838,0.0008877774,0.0007899431,0.0001537927,0.0004132558,0.0007663022,0.0002616544,0.000517046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003868588,"about_ca_system_score_gemma":0.0003882169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125393,"about_ca_topic_score_gemma":0.01264003,"domain_scores_codex":[0.9996178,0.00007210255,0.00002971021,0.00007648569,0.0000853446,0.0001185187],"domain_scores_gemma":[0.9993452,0.0001538591,0.0001455243,0.00003831595,0.0002150258,0.0001019162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00122199,0.0002516803,0.977626,0.0000410704,0.0002004222,0.0002935134,0.0005889988,0.001960043,0.00301683,0.0001564344,0.0002477356,0.01439522],"study_design_scores_gemma":[0.000007787725,0.0004661088,0.988965,0.00001111416,0.0001625162,0.0002784131,0.001416882,0.007643346,0.0007130828,0.0001627513,0.0001554212,0.00001763749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988419,0.00003109283,0.0004143757,0.00001032267,0.000001251917,0.00001092989,0.0003026146,0.000009936149,0.0003774692],"genre_scores_gemma":[0.9990746,0.00002298209,0.000187734,0.000003387114,0.000001546277,0.00001114819,0.000318753,0.000002497208,0.0003773545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125393,"threshold_uncertainty_score":0.02493262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004539968460017217,"score_gpt":0.2332722627704617,"score_spread":0.2287322943104445,"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."}}