{"id":"W2162781440","doi":"10.1136/injuryprev-2012-040580f.4","title":"INNOVATIONS IN CHILD INJURY PREVENTION: EVIDENCE-BASED STRATEGIES THAT ADDRESS FIRE SAFETY FOR YOUNG CHILDREN AND PLAYGROUND SAFETY FOR OLDER CHILDREN","year":2012,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Injury prevention; Poison control; Human factors and ergonomics; Suicide prevention; Occupational safety and health; Psychological intervention; Applied psychology; Safety behaviors; Engineering; Medical education; Psychology; Medicine; Medical emergency; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008015076,0.001010372,0.001298524,0.002942473,0.0004178524,0.001561642,0.001644856,0.002313724,0.005002562],"category_scores_gemma":[0.02424994,0.0004903222,0.002331775,0.001924914,0.0005885566,0.001629118,0.001418176,0.00187571,0.000410551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793045,"about_ca_system_score_gemma":0.005889581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006909876,"about_ca_topic_score_gemma":0.01784013,"domain_scores_codex":[0.9951578,0.002011262,0.001001351,0.0002645637,0.001379683,0.0001853454],"domain_scores_gemma":[0.9894382,0.007039464,0.001972171,0.0002086263,0.0007906281,0.0005508428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000458621,0.002946394,0.002988426,0.1262221,0.001615545,0.00009965288,0.0005722977,0.0006794065,0.0004429061,0.001380118,0.003483657,0.8591109],"study_design_scores_gemma":[0.005014624,0.005873521,0.06449571,0.8093677,0.01149666,0.0004191519,0.001885626,0.001407155,0.001846923,0.003003978,0.09507864,0.000110381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03598003,0.9241457,0.005006087,0.01643673,0.002576842,0.004688217,0.0003197624,0.0001699611,0.0106767],"genre_scores_gemma":[0.145083,0.8073031,0.03749548,0.00435219,0.0007253358,0.00355019,0.0002661171,0.00002015964,0.001204287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008015076,"threshold_uncertainty_score":0.04238832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485215363751405,"score_gpt":0.3617575334288396,"score_spread":0.3169053797913255,"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."}}