{"id":"W4360998992","doi":"10.1097/acm.0000000000005218","title":"Social Network Analysis in Medical Education","year":2023,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University; McGill University Health Centre","funders":"","keywords":"Social network analysis; Medical education; MEDLINE; Medicine; Computer science; Political science; World Wide Web; Social media","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001983451,0.0002360037,0.0002766715,0.00489321,0.0008260648,0.001456858,0.0003405133,0.0006615361,0.0104904],"category_scores_gemma":[0.0123123,0.0001448026,0.0004304647,0.005109248,0.0002472147,0.00138908,0.001078499,0.0006664997,0.001353756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008184747,"about_ca_system_score_gemma":0.001112571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007666212,"about_ca_topic_score_gemma":0.01238525,"domain_scores_codex":[0.9980803,0.001129797,0.0001368783,0.000190702,0.0003274986,0.0001348894],"domain_scores_gemma":[0.9925768,0.005316481,0.0007920574,0.0002329395,0.0006476407,0.0004340957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000189729,0.0003428054,0.3623062,0.0009346742,0.0003968792,0.0003184954,0.003227555,0.002608258,0.000424218,0.02229129,0.06644765,0.5405123],"study_design_scores_gemma":[0.0000487885,0.0001931491,0.6728495,0.001747013,0.0003293829,0.0009148669,0.01400063,0.03756933,0.001030552,0.05851632,0.2126687,0.0001318189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6890881,0.05315405,0.03779649,0.08055358,0.003081478,0.0008436017,0.03386377,0.0004616633,0.1011572],"genre_scores_gemma":[0.9563682,0.009138086,0.01559691,0.0008497466,0.001531173,0.0004378294,0.004867305,0.00004800736,0.01116273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0104904,"threshold_uncertainty_score":0.03509384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306287123575899,"score_gpt":0.5184978703469076,"score_spread":0.3878691579893178,"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."}}