{"id":"W2042957891","doi":"10.1080/15389588.2012.716879","title":"Altering School Attendance Times to Prevent Child Pedestrian Injuries","year":2012,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; McMaster University","keywords":"Pedestrian; Poison control; Attendance; Injury prevention; Transport engineering; Human factors and ergonomics; Suicide prevention; Occupational safety and health; Psychology; Engineering; Environmental health; Medicine; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005357629,0.0003720117,0.0002014716,0.0004135134,0.0002351156,0.0002385058,0.0004555241,0.0002906102,0.002325593],"category_scores_gemma":[0.003209356,0.0001273789,0.0002855566,0.0002823658,0.0001332541,0.0001959376,0.000242885,0.0002626344,0.0003225247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005723531,"about_ca_system_score_gemma":0.001287897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038332,"about_ca_topic_score_gemma":0.02424259,"domain_scores_codex":[0.9997035,0.0001173051,0.00001762573,0.00004082961,0.00005346231,0.00006725311],"domain_scores_gemma":[0.9989636,0.0002970823,0.0004347886,0.00007951407,0.0001014265,0.0001236049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002773628,0.00583534,0.6379836,0.001057834,0.000518824,0.0002299678,0.0009189243,0.05150711,0.02538848,0.001344333,0.002736237,0.2697057],"study_design_scores_gemma":[0.0003966259,0.009547306,0.9348941,0.0002220457,0.0005769668,0.0002358674,0.001061797,0.02667948,0.01690051,0.001415258,0.008020825,0.00004911889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916848,0.0003854251,0.00520106,0.0001994238,0.00002926615,0.00009086326,0.0001723987,0.0001500251,0.00208671],"genre_scores_gemma":[0.9945948,0.0001893291,0.004426866,0.00004540611,0.000008205217,0.00003743856,0.0001218994,0.000007874177,0.0005682412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038332,"threshold_uncertainty_score":0.02064574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007885266464906485,"score_gpt":0.2446371309830926,"score_spread":0.2367518645181862,"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."}}