{"id":"W3015147347","doi":"10.1186/s12889-020-08514-x","title":"How can we support best practice? A situational assessment of injury prevention practice in public health","year":2020,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Public Health Ontario; University of Toronto","funders":"","keywords":"Public health; Medicine; Population health; Thematic analysis; Biostatistics; Population; Focus group; Environmental health; Public relations; Nursing; Qualitative research; Business; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1363542,0.0008833396,0.001153164,0.007753739,0.0161016,0.02178822,0.004817818,0.004634605,0.001583454],"category_scores_gemma":[0.191071,0.001481909,0.001109885,0.006004583,0.02806498,0.02783756,0.02219934,0.007592988,0.000330891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02222093,"about_ca_system_score_gemma":0.05660779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009220893,"about_ca_topic_score_gemma":0.01377592,"domain_scores_codex":[0.7790099,0.1812463,0.009361232,0.004574521,0.01765749,0.00815056],"domain_scores_gemma":[0.7636359,0.1553179,0.01918092,0.009871669,0.02754644,0.02444726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002986965,0.00009896106,0.0111674,0.001476904,0.00005119452,0.0004491755,0.941608,0.0001578646,0.0002428099,0.0086121,0.002937265,0.0331684],"study_design_scores_gemma":[0.0000119017,0.0001001989,0.005099768,0.001786268,0.00002603634,0.0002801039,0.9661782,0.0002861533,0.0001476842,0.007251458,0.01878307,0.00004919708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6163196,0.01060178,0.03335897,0.2972198,0.001313485,0.00206562,0.0003197114,0.0003948282,0.03840618],"genre_scores_gemma":[0.9698943,0.003079372,0.02198214,0.003660253,0.00007214353,0.0006631027,0.00007951151,0.00005248448,0.0005167392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1363542,"threshold_uncertainty_score":0.7211187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332463972585352,"score_gpt":0.460656604267358,"score_spread":0.3274102070088228,"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."}}