{"id":"W6904866881","doi":"10.14288/1.0379020","title":"Barriers and Enablers to Enacting Child and Youth Related Injury Prevention Legislation in Canada","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowball sampling; Legislation; Likert scale; Enabling; Suicide prevention; Poison control; Injury prevention; Occupational safety and health","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":[0.00661706,0.0002779085,0.0005418879,0.00186525,0.01080344,0.004485307,0.002058316,0.0008577687,0.003430355],"category_scores_gemma":[0.02037975,0.0005051305,0.0005521672,0.002905646,0.002811635,0.001301401,0.004014937,0.002057042,0.0001654969],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09106722,"about_ca_system_score_gemma":0.2739579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953169,"about_ca_topic_score_gemma":0.9975888,"domain_scores_codex":[0.9887868,0.001268971,0.0004886758,0.000620907,0.004498535,0.004336203],"domain_scores_gemma":[0.9797591,0.003454749,0.002946623,0.0004214809,0.007724447,0.00569364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001530338,0.0004011285,0.7600733,0.0009076974,0.0001273825,0.001073518,0.09862856,0.001175348,0.000883936,0.009977062,0.01591326,0.1106858],"study_design_scores_gemma":[0.00001865658,0.00009194866,0.8451973,0.001461552,0.0000743438,0.0001386657,0.1119036,0.001134165,0.0005554879,0.0007159205,0.03861947,0.0000889974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474022,0.00242083,0.0007416721,0.01925941,0.0001108754,0.000263995,0.0008477126,0.00005465569,0.02889864],"genre_scores_gemma":[0.9931434,0.00168493,0.0007787614,0.001040024,0.00001003687,0.00007214261,0.0002387881,0.00001247977,0.003019335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9089328,"threshold_uncertainty_score":0.660742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237470587657727,"score_gpt":0.2752080104500458,"score_spread":0.2628333045734685,"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."}}