{"id":"W2038510815","doi":"10.1111/j.1365-2923.2009.03321.x","title":"Preventing accidents in children using community‐based learning","year":2009,"lang":"en","type":"article","venue":"Medical Education","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attendance; Curriculum; Context (archaeology); Intervention (counseling); Accidental; Medical education; Quarter (Canadian coin); Medicine; Suicide prevention; Nursing; Psychology; Poison control; Medical emergency; Pedagogy; Political science","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":[0.003238032,0.0004235574,0.0005780719,0.003658412,0.0006975829,0.0007814569,0.0009491583,0.0007246203,0.003971513],"category_scores_gemma":[0.01698887,0.000238815,0.0009277354,0.002406449,0.0005296915,0.0008493153,0.00156297,0.0006697387,0.0005553624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002305886,"about_ca_system_score_gemma":0.002898284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132193,"about_ca_topic_score_gemma":0.01407941,"domain_scores_codex":[0.9965907,0.001154759,0.0005530221,0.0002608072,0.0008662505,0.0005744896],"domain_scores_gemma":[0.9881108,0.004862874,0.003173671,0.0003982046,0.002655253,0.0007992533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002177887,0.0005182165,0.9300696,0.0003538699,0.00003661121,0.0009484197,0.006216482,0.0005194183,0.0001795012,0.00025872,0.001132016,0.05954944],"study_design_scores_gemma":[0.00002316975,0.0009373467,0.9721879,0.0003278072,0.00004291799,0.001398248,0.01774724,0.0007669518,0.000635936,0.0002958186,0.005603589,0.00003301862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941651,0.0003126381,0.0003195507,0.0001225926,0.000009870564,0.0003852482,0.00117331,0.0000337549,0.003477959],"genre_scores_gemma":[0.9948865,0.0004758274,0.001713808,0.00005607256,0.000009513586,0.000441648,0.0009991884,0.000008688361,0.001408793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01132193,"threshold_uncertainty_score":0.02251208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785502083683777,"score_gpt":0.408051658323805,"score_spread":0.3801966374869672,"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."}}