{"id":"W1576703062","doi":"10.1139/cjce-2013-0565","title":"Automated measuring of cyclist – motor vehicle post encroachment time at signalized intersections","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Intersection (aeronautics); Statistics; Transport engineering; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004885808,0.0004352066,0.0003473834,0.002849292,0.0003513946,0.0005520039,0.000613248,0.0003034912,0.0008800933],"category_scores_gemma":[0.00220597,0.0001786068,0.0001474842,0.001287812,0.0002070935,0.0004710796,0.0005198702,0.0002230447,0.0002618568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003598912,"about_ca_system_score_gemma":0.0004359989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005043966,"about_ca_topic_score_gemma":0.009971889,"domain_scores_codex":[0.9990446,0.0001866915,0.00004419492,0.0001843974,0.0004366752,0.0001033842],"domain_scores_gemma":[0.9974219,0.0005737139,0.0008117082,0.0001289637,0.0009058502,0.0001579624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009044954,0.0002718346,0.7688487,0.0002254897,0.0001381544,0.0004879905,0.001619019,0.01077148,0.04963267,0.000484078,0.0006204964,0.1659956],"study_design_scores_gemma":[0.00001151273,0.0005207403,0.9356415,0.00002067049,0.00005987271,0.000588631,0.00117634,0.04536624,0.01501356,0.0001811171,0.001363032,0.0000568171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856964,0.00008353552,0.01255284,0.000007348389,0.000007487444,0.00004959815,0.0002334689,0.00009138989,0.001277858],"genre_scores_gemma":[0.9885122,0.00006605792,0.01058305,0.000005014164,0.000009467824,0.00004464283,0.0003171533,0.00001233669,0.0004501091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005043966,"threshold_uncertainty_score":0.0100292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0048031801518055,"score_gpt":0.1606165855156146,"score_spread":0.1558134053638091,"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."}}