{"id":"W2119591608","doi":"10.1002/chp.21271","title":"Navigating Knowledge to Action: A Conceptual Map for Facilitating Translation of Population Health Risk Planning Tools Into Practice","year":2015,"lang":"en","type":"article","venue":"Journal of Continuing Education in the Health Professions","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Knowledge translation; Action (physics); Knowledge management; Computer science; Conceptual framework; Population; Population health; Management science; Data science; Engineering; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03738569,0.002671177,0.001262334,0.0165733,0.008518493,0.02238489,0.006412814,0.00616,0.01052761],"category_scores_gemma":[0.04563524,0.00176788,0.00323238,0.01102736,0.02670532,0.03199214,0.01491301,0.006617869,0.002056139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0142254,"about_ca_system_score_gemma":0.03333081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616067,"about_ca_topic_score_gemma":0.01396917,"domain_scores_codex":[0.9773079,0.01620012,0.001834627,0.001513516,0.00206156,0.001082298],"domain_scores_gemma":[0.9573763,0.03061479,0.001811519,0.004360396,0.003693945,0.002142969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007059349,0.000263475,0.002825435,0.002093785,0.00008364673,0.0008181254,0.1112857,0.008728759,0.0008647634,0.7195729,0.007121689,0.1462711],"study_design_scores_gemma":[0.00009563495,0.0002141675,0.001604411,0.004231964,0.0001446483,0.0005768244,0.08620064,0.01867193,0.001074684,0.6986042,0.188363,0.0002178937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01985424,0.001357629,0.8683523,0.03779489,0.0003789621,0.003339925,0.0007797674,0.002234229,0.06590812],"genre_scores_gemma":[0.133303,0.001084211,0.8601012,0.000577539,0.00003123918,0.002384897,0.0005485843,0.0002438842,0.0017255],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03738569,"threshold_uncertainty_score":0.1977168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5975112920589682,"score_gpt":0.7101247917806941,"score_spread":0.1126134997217259,"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."}}