{"id":"W563228558","doi":"","title":"Traffic Calming and RRFBs Increase Pedestrian Safety in Lethbridge, Canada","year":2014,"lang":"en","type":"article","venue":"IMSA journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Traffic calming; Transport engineering; SAFER; Beacon; Downtown; Geography; Pedestrian crossing; Poison control; Engineering; Environmental planning; Computer security; Computer science; Environmental health; Telecommunications; 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":[0.0006855599,0.0002912701,0.0001606305,0.000870318,0.002994017,0.001010921,0.001198936,0.000527064,0.009460147],"category_scores_gemma":[0.002550507,0.0002104323,0.0002107018,0.0008424436,0.0008964215,0.0003793843,0.001394335,0.0005465233,0.0004611462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01346041,"about_ca_system_score_gemma":0.03459794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9575992,"about_ca_topic_score_gemma":0.990769,"domain_scores_codex":[0.9990512,0.0001702816,0.00001136985,0.00007626721,0.0004129207,0.0002780376],"domain_scores_gemma":[0.9987041,0.0001660981,0.00008077252,0.00002813296,0.0004690029,0.0005519916],"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":[0.0013681,0.004380351,0.275553,0.0006712148,0.0001430167,0.001969604,0.01251549,0.004881162,0.01309307,0.006490888,0.08414747,0.5947866],"study_design_scores_gemma":[0.0004006119,0.002090211,0.8316137,0.0003273939,0.0001132756,0.0003792421,0.01928098,0.003927929,0.005320885,0.001071952,0.1353679,0.0001059263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8746074,0.001123454,0.001963157,0.005807324,0.0001170116,0.0004222869,0.0003491541,0.000511574,0.1150986],"genre_scores_gemma":[0.956731,0.001226111,0.004724662,0.001101813,0.00004093727,0.00009230355,0.0003056783,0.00005345545,0.03572408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04240084,"threshold_uncertainty_score":0.09766257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002591592131445096,"score_gpt":0.1602852545067938,"score_spread":0.1576936623753487,"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."}}