{"id":"W2733661831","doi":"10.1016/j.aap.2017.06.002","title":"Examining how different measurement approaches impact safety outcomes in child pedestrian research: Implications for research and prevention","year":2017,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Canadian Institutes of Health Research","keywords":"Pedestrian; Poison control; Human factors and ergonomics; Injury prevention; Pedestrian crossing; Occupational safety and health; Psychology; Applied psychology; Computer science; Engineering; Simulation; Transport engineering; Medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005047098,0.0002181957,0.0004588217,0.000958206,0.001069908,0.0004475295,0.0004435466,0.0001431305,0.00001986518],"category_scores_gemma":[0.0003874641,0.0001858891,0.0003144403,0.0004995623,0.00009151557,0.0005096843,0.0001683323,0.0004057216,0.000002733965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071389,"about_ca_system_score_gemma":0.00003684947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001062746,"about_ca_topic_score_gemma":0.01221725,"domain_scores_codex":[0.9975224,0.000317665,0.0004601117,0.0004881585,0.0006440387,0.0005675888],"domain_scores_gemma":[0.9984713,0.0001861175,0.0001378116,0.0008487554,0.0002191105,0.0001369318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004491826,0.000193371,0.9488815,0.00002433865,0.001132761,5.129803e-7,0.0002529692,0.002435099,0.00014173,0.0005496778,0.0001123376,0.04623076],"study_design_scores_gemma":[0.0008156104,0.0001297876,0.990055,0.00009103353,0.000291353,0.00000103663,0.0003825694,0.004803795,0.00008312986,0.003121508,0.00004869782,0.0001765008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640849,0.0006660146,0.03131327,0.001574162,0.00006977921,0.001416133,0.000004092679,0.00008456979,0.000787135],"genre_scores_gemma":[0.9982078,0.0004724483,0.0003134818,7.146291e-7,0.00008130487,0.0003801055,0.0001181063,0.00002957851,0.0003964633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04605426,"threshold_uncertainty_score":0.8228979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4913748898843708,"score_gpt":0.4368069346348952,"score_spread":0.05456795524947555,"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."}}