{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002399176,0.0006453367,0.0009764034,0.0002472543,0.000507546,0.0001346346,0.0004029692,0.0004262812,0.0005619953],"category_scores_gemma":[0.0005795132,0.0006924686,0.0002513593,0.0008048393,0.0001170228,0.001197756,0.00001136589,0.0006345725,0.000002755927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003759943,"about_ca_system_score_gemma":0.005038721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6115713,"about_ca_topic_score_gemma":0.9721371,"domain_scores_codex":[0.9935754,0.0005936342,0.002156117,0.0005889381,0.002249528,0.0008363834],"domain_scores_gemma":[0.9937236,0.0006933042,0.002224697,0.0004357625,0.002344204,0.0005784479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001821938,0.0008140206,0.6401541,0.001711577,0.003683004,0.0001200114,0.03422479,0.1970646,0.02264315,0.01294115,0.07694218,0.007879448],"study_design_scores_gemma":[0.007015333,0.0002615284,0.9378211,0.00103144,0.001328543,0.000009262461,0.005381572,0.007252729,0.01580051,0.004320146,0.01791723,0.001860553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381944,0.001051323,0.0259424,0.02368054,0.001361717,0.001192233,0.005978308,0.000351469,0.002247597],"genre_scores_gemma":[0.9942105,0.0006380904,0.0007261941,0.0004896763,0.0001420439,0.00005343011,0.002561211,0.00009087306,0.001087951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3605658,"threshold_uncertainty_score":0.9995527,"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."}}