{"id":"W2338328636","doi":"","title":"Enhancing Pedestrian Safety - Lessons Learned from Calgary's RRFB Pilot","year":2015,"lang":"en","type":"article","venue":"TAC 2015: Getting You There Safely - 2015 Conference and Exhibition of the Transportation Association of Canada // ATC: Destination sécurité routière - 2015 Congrès et Exposition de l'Association des transports du Canada","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Beacon; SAFER; Context (archaeology); Poison control; Engineering; Computer science; Computer security; Geography; Telecommunications; Medical emergency; Medicine","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":[0.003541542,0.0007215191,0.0004983397,0.0005955452,0.003735479,0.001726496,0.002241394,0.001636977,0.004093566],"category_scores_gemma":[0.004583233,0.0003432295,0.0005051979,0.0004337057,0.001666834,0.001439092,0.002887336,0.003039988,0.0009238234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00377023,"about_ca_system_score_gemma":0.01197987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1904778,"about_ca_topic_score_gemma":0.4470105,"domain_scores_codex":[0.9983869,0.0005803847,0.00004278176,0.0001582298,0.0004824635,0.0003493277],"domain_scores_gemma":[0.9972054,0.0005693159,0.00007926369,0.0001120876,0.001093553,0.0009403155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004629094,0.005171982,0.02321468,0.001273714,0.00005754518,0.008014713,0.07303711,0.001225881,0.004823972,0.002808771,0.222631,0.6572776],"study_design_scores_gemma":[0.0004292322,0.008113505,0.08613145,0.002660119,0.0001508741,0.002340964,0.2156965,0.001432087,0.004587874,0.003259918,0.6749556,0.000241858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7467416,0.01058485,0.007326195,0.1223912,0.006718305,0.001547845,0.0005546076,0.0009565978,0.1031788],"genre_scores_gemma":[0.8289434,0.02233365,0.03046894,0.02719574,0.001098475,0.000643915,0.0006283977,0.0003101552,0.08837735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8095223,"threshold_uncertainty_score":0.3787381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087025817099121,"score_gpt":0.239105102452006,"score_spread":0.2182348442810148,"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."}}