{"id":"W2136984836","doi":"","title":"IMPROVING INTERSECTION SAFETY: REDUCING CASUALTIES AT HIGH-RISK INTERSECTIONS IN SURREY, RICHMOND AND VANCOUVER","year":2008,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Status quo; Traffic volume; Transport engineering; Variables; Geography; Demography; Statistics; Engineering; Political science; Mathematics; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004549515,0.0003248215,0.0003006915,0.0008880409,0.001330139,0.001126867,0.0009145265,0.0003052014,0.001145833],"category_scores_gemma":[0.002462421,0.000236737,0.0001907086,0.001627177,0.0004712348,0.000285002,0.0006599133,0.0004389723,0.0002448806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008001651,"about_ca_system_score_gemma":0.008960881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9560893,"about_ca_topic_score_gemma":0.9865906,"domain_scores_codex":[0.9993087,0.0001509743,0.00002550735,0.00009908144,0.0002109689,0.0002048214],"domain_scores_gemma":[0.998575,0.0002003746,0.0002451351,0.0000514338,0.0006431381,0.0002849845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002934622,0.0003607458,0.9258652,0.0001038669,0.00009113995,0.0003758961,0.002046598,0.005325656,0.001279963,0.0002306539,0.002725315,0.0613016],"study_design_scores_gemma":[0.00001396623,0.0001253551,0.990791,0.00003104618,0.00002757389,0.00003870874,0.003861804,0.00292276,0.0004581879,0.00004515668,0.001670635,0.00001377575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9971106,0.0001053362,0.0001684894,0.00009708787,0.000002519877,0.00002966793,0.0002991769,0.00001124108,0.002175891],"genre_scores_gemma":[0.9946703,0.0004137931,0.0006632295,0.00004398606,0.000002367071,0.00002265262,0.0006816945,0.00000376202,0.003498297],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04391068,"threshold_uncertainty_score":0.08833849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004861183833476664,"score_gpt":0.1760575637174353,"score_spread":0.1711963798839586,"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."}}