{"id":"W2187833380","doi":"","title":"A SERIES OF STUDIES ON USING SOCIAL NETWORKS TO INFORM AND SUPPORT EVIDENCE-INFORMED PUBLIC HEALTH PRACTICE IN CANADA: INVESTIGATING ORGANIZATIONAL SOCIAL NETWORKS","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Community Health and Development","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Public health; Social network analysis; Public relations; Political science; Sociology; Data science; Computer science; Social science; Medicine; Nursing; Social capital","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":[0.007577739,0.000387448,0.0006923807,0.003828622,0.01325824,0.006876271,0.002635697,0.001995243,0.00344576],"category_scores_gemma":[0.04374832,0.0005232134,0.000698974,0.009246789,0.004427991,0.002510813,0.004443791,0.003498817,0.0003108691],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08144876,"about_ca_system_score_gemma":0.1677771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9789691,"about_ca_topic_score_gemma":0.9924977,"domain_scores_codex":[0.9943011,0.001564189,0.0002686782,0.0005018358,0.001805814,0.001558368],"domain_scores_gemma":[0.9388719,0.01985009,0.008357892,0.002116441,0.02179075,0.009013044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004091822,0.001334574,0.5063433,0.001848471,0.0004193773,0.0006043856,0.3206609,0.0003437307,0.000693848,0.009741521,0.01671351,0.1408872],"study_design_scores_gemma":[0.00005254671,0.0001761442,0.5952133,0.001809082,0.0002506881,0.0001046201,0.3716508,0.0003263177,0.0005926945,0.001012842,0.02873735,0.00007355911],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577047,0.003774537,0.0005167954,0.01139457,0.000143661,0.0006598906,0.0009192494,0.0000134096,0.02487333],"genre_scores_gemma":[0.9796108,0.00486085,0.001645687,0.003984596,0.00005498824,0.0004658694,0.0005031897,0.00002062871,0.008853438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9185513,"threshold_uncertainty_score":0.5909548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3636818927763001,"score_gpt":0.5211280055969432,"score_spread":0.157446112820643,"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."}}