{"id":"W2022153539","doi":"10.1332/174426409x395420","title":"Knowledge exchange strategies for interventions and policy in public health","year":2009,"lang":"en","type":"article","venue":"Evidence & Policy","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Public health; Public relations; Context (archaeology); Knowledge translation; Political science; Work (physics); Health policy; Public health interventions; Public policy; Public administration; Business; Knowledge management; Medicine; Nursing; Computer science; Engineering; Geography","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.1626275,0.002118152,0.002322862,0.01055935,0.01101514,0.02287472,0.005110533,0.01348864,0.0206959],"category_scores_gemma":[0.1628858,0.001056403,0.002283452,0.008598438,0.03864366,0.03377906,0.02703845,0.00756221,0.002320038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01945632,"about_ca_system_score_gemma":0.04873912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008117895,"about_ca_topic_score_gemma":0.006866431,"domain_scores_codex":[0.8292691,0.1501433,0.005067397,0.003994403,0.008421239,0.003104626],"domain_scores_gemma":[0.7669627,0.2002465,0.006417435,0.01458411,0.007827272,0.003961988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004808146,0.0001019402,0.0004256337,0.0013248,0.00008804606,0.0001860761,0.02174436,0.001139703,0.0001214689,0.8700272,0.007570552,0.09722221],"study_design_scores_gemma":[0.00007350588,0.00006335419,0.0002842591,0.002997613,0.00004908156,0.0001220777,0.0136697,0.001016296,0.0002096809,0.8942302,0.08723824,0.00004612514],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009886445,0.03205738,0.3361925,0.3068683,0.001991696,0.002461142,0.0002249628,0.0003871465,0.3099304],"genre_scores_gemma":[0.5205883,0.02802419,0.4036466,0.01785164,0.001403362,0.007853057,0.0003058707,0.0002106895,0.0201163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9771253,"threshold_uncertainty_score":0.8600667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8394731761162932,"score_gpt":0.7411495455116143,"score_spread":0.09832363060467897,"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."}}