{"id":"W3209196033","doi":"","title":"The use of social network analysis to examine knowledge translation opportunities across organizational networks","year":2021,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social network analysis; Knowledge translation; Dissemination; Information Dissemination; Social network (sociolinguistics); Knowledge management; Network analysis; Organizational network analysis; Descriptive statistics; Public relations; Social media; Psychology; Organizational learning; Political science; Computer science; World Wide Web; Engineering","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":[0.02190251,0.0007398669,0.0007298889,0.0222226,0.002820557,0.004229751,0.001055533,0.0007130746,0.003857726],"category_scores_gemma":[0.0874817,0.0004292661,0.001018405,0.01984448,0.001657494,0.007244195,0.005356906,0.0009430386,0.0003045445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004867611,"about_ca_system_score_gemma":0.005337241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976675,"about_ca_topic_score_gemma":0.02185084,"domain_scores_codex":[0.9810807,0.01320116,0.001367721,0.001537155,0.002297184,0.0005159553],"domain_scores_gemma":[0.8629458,0.1077013,0.01611726,0.003958271,0.007681071,0.001596332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003192039,0.0003632859,0.6027167,0.002991573,0.001506723,0.0005640083,0.08752613,0.004797843,0.001701099,0.03402701,0.004777491,0.258709],"study_design_scores_gemma":[0.0001311571,0.0006438224,0.6538578,0.001754639,0.001052278,0.0007657676,0.1457417,0.07795466,0.00203058,0.07886486,0.03696141,0.0002414609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533714,0.001527354,0.1032037,0.002717674,0.0001429105,0.002960286,0.004704021,0.0003111292,0.03106154],"genre_scores_gemma":[0.9289079,0.0006553117,0.06471129,0.0001436911,0.0000501925,0.002931521,0.001514103,0.00003392537,0.001052097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0222226,"threshold_uncertainty_score":0.115833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2603969571260198,"score_gpt":0.4602919128927311,"score_spread":0.1998949557667113,"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."}}