{"id":"W2943874016","doi":"10.1017/s1049023x19001596","title":"From Science to Policy and Practice: A Critical Assessment of Knowledge Management Before, During, and After Environmental Public Health Disasters","year":2019,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; Health Canada; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Emergency management; Preparedness; Public relations; Public health; Knowledge translation; Risk management; Political science; Environmental planning; Environmental resource management; Medicine; Business; Knowledge management; Nursing; Geography","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3290676,0.002118749,0.002677539,0.03297397,0.0448053,0.06246123,0.009423942,0.01173375,0.002290621],"category_scores_gemma":[0.3703285,0.002233592,0.001479036,0.0165799,0.07771924,0.03383644,0.02899635,0.01623597,0.0002790401],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1664022,"about_ca_system_score_gemma":0.3659274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1557424,"about_ca_topic_score_gemma":0.1849118,"domain_scores_codex":[0.7538363,0.1613406,0.01713265,0.006150919,0.04741218,0.01412734],"domain_scores_gemma":[0.3140981,0.5729159,0.01905033,0.00867027,0.06910789,0.01615744],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001090452,0.0001102542,0.008583141,0.006052783,0.0001335559,0.001137376,0.8212476,0.0004797895,0.0004148061,0.03682384,0.007658749,0.117249],"study_design_scores_gemma":[0.00002358614,0.0001226012,0.006193735,0.0184497,0.0001205756,0.0004887024,0.8976215,0.0006448559,0.0004776061,0.02798415,0.0477274,0.0001456832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1742181,0.09003633,0.01809986,0.6508176,0.002379623,0.005906003,0.0004400555,0.000217618,0.0578848],"genre_scores_gemma":[0.9387912,0.02081831,0.02619951,0.01122305,0.0003272708,0.001541026,0.0001319968,0.00006585595,0.0009019577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6709324,"threshold_uncertainty_score":0.9668553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309482515763952,"score_gpt":0.4231277175502667,"score_spread":0.4000328923926272,"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."}}