{"id":"W2255104320","doi":"10.1093/jpepsy/jsv078","title":"Using a Virtual Environment to Examine How Children Cross Streets: Advancing Our Understanding of How Injury Risk Arises","year":2015,"lang":"en","type":"article","venue":"Journal of Pediatric Psychology","topic":"Traffic and Road Safety","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canadian Institutes of Health Research","keywords":"Poison control; Psychology; Human factors and ergonomics; Injury prevention; Suicide prevention; Developmental psychology; Applied psychology; Medicine; Medical emergency","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":[0.0006432042,0.0004617005,0.0002222315,0.0006314216,0.0003170511,0.0008703218,0.0003168592,0.0004891155,0.00106581],"category_scores_gemma":[0.002864365,0.0002373701,0.0003434893,0.0002320087,0.0004531337,0.0009302124,0.0008087908,0.0004660033,0.0001678895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003134353,"about_ca_system_score_gemma":0.0004169746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004090033,"about_ca_topic_score_gemma":0.008650607,"domain_scores_codex":[0.9995347,0.000224766,0.00002268351,0.00005491128,0.00009517562,0.00006775784],"domain_scores_gemma":[0.9986364,0.0003898803,0.0005765363,0.00006607668,0.0001241175,0.0002069402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001543021,0.0004945527,0.9423217,0.0002120062,0.00006673011,0.0005139865,0.004862613,0.001106873,0.005789527,0.0003614002,0.0004864222,0.04363003],"study_design_scores_gemma":[0.00001339199,0.001714355,0.978062,0.0002477092,0.0001097414,0.001886711,0.00761117,0.00217731,0.003935555,0.0006074178,0.003577924,0.00005673234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971069,0.0003593793,0.001564638,0.00008489712,0.000006051401,0.00001292503,0.00005133213,0.00001763084,0.0007962823],"genre_scores_gemma":[0.9950554,0.000781789,0.003806235,0.00003463979,0.000005175141,0.00002482829,0.00005790776,0.000004397114,0.0002295835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004090033,"threshold_uncertainty_score":0.008132458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05267555498313825,"score_gpt":0.3050920827454883,"score_spread":0.25241652776235,"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."}}