{"id":"W2762813383","doi":"10.1093/pch/pxx086.099","title":"COMMUNITY PREVENTION STRATEGIES FOR SPEED REDUCTION IN SCHOOL ZONES: WHAT ARE THE REAL IMPACTS?","year":2017,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Traffic calming; Evening; Medicine; Kilometer; Transport engineering; Environmental health; Engineering","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":[0.004251479,0.001044989,0.000873277,0.001791642,0.001367183,0.003217453,0.00186372,0.002159637,0.008437593],"category_scores_gemma":[0.009714282,0.0003559476,0.0008794591,0.001008311,0.0008002929,0.001961998,0.001941498,0.001178623,0.0006005295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003095063,"about_ca_system_score_gemma":0.01105135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087485,"about_ca_topic_score_gemma":0.0518714,"domain_scores_codex":[0.9965713,0.001555643,0.0001267992,0.0002129356,0.0008341832,0.0006991152],"domain_scores_gemma":[0.9956784,0.0009310274,0.0007779122,0.00008484643,0.001174295,0.001353622],"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":[0.0004871695,0.004705505,0.2526212,0.01186402,0.0006924293,0.0008612122,0.004719249,0.0008215848,0.000911844,0.002884927,0.02132208,0.6981088],"study_design_scores_gemma":[0.0006345647,0.00363112,0.8478999,0.03434271,0.001102242,0.0007838511,0.04681119,0.00258925,0.001057497,0.004426722,0.05659317,0.0001277416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5325613,0.2168251,0.004604777,0.2120385,0.002071496,0.002577333,0.001303669,0.0003755369,0.02764233],"genre_scores_gemma":[0.906265,0.07321299,0.008969135,0.00678703,0.000717254,0.001232391,0.0003609212,0.00002205778,0.002433282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02087485,"threshold_uncertainty_score":0.04150671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824190735895499,"score_gpt":0.2998083278461839,"score_spread":0.271566420487229,"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."}}