{"id":"W2103732112","doi":"10.1016/j.aap.2011.04.009","title":"Managing speed at school and playground zones","year":2011,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Red Deer College; University of Calgary","funders":"Alberta Motor Association Foundation for Traffic Safety","keywords":"Speed limit; Fencing; Percentile; Transport engineering; Poison control; Traffic speed; Injury prevention; Electronic speed control; Traffic calming; Human factors and ergonomics; Occupational safety and health; Engineering; Environmental science; Geography; Environmental health; Computer science; Medicine; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0007891246,0.0006448409,0.0003656285,0.001625785,0.001572369,0.002951124,0.001443532,0.0009445884,0.009016751],"category_scores_gemma":[0.003493043,0.0004228635,0.0003354467,0.0007162641,0.0002909567,0.002154347,0.001728781,0.000658022,0.001338205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083728,"about_ca_system_score_gemma":0.002101742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104965,"about_ca_topic_score_gemma":0.02374921,"domain_scores_codex":[0.9989858,0.0002159757,0.00004622442,0.000169836,0.0002356502,0.0003464683],"domain_scores_gemma":[0.9981395,0.0003510699,0.000290629,0.0001320607,0.0004762281,0.0006105395],"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":[0.0009709459,0.002795931,0.2065246,0.0002601605,0.0002609259,0.0007097071,0.003982264,0.08165865,0.02248198,0.01218479,0.01700694,0.651163],"study_design_scores_gemma":[0.0002773787,0.00292368,0.4399787,0.0003145128,0.0005754798,0.001110718,0.03228522,0.3551852,0.03548846,0.03522768,0.09633549,0.0002975408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8742588,0.0003892694,0.067427,0.001111774,0.0001561665,0.0002450563,0.000372319,0.001393667,0.05464608],"genre_scores_gemma":[0.9812299,0.0001153379,0.01241264,0.00003018268,0.00002054119,0.00005413447,0.0001650182,0.00007660394,0.005895553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0104965,"threshold_uncertainty_score":0.03016406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615687649227819,"score_gpt":0.2194733191754335,"score_spread":0.2033164426831554,"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."}}