{"id":"W2968157356","doi":"10.1016/j.athoracsur.2019.06.011","title":"The Thoracic Surgery Social Media Network: Early Experience and Lessons Learned","year":2019,"lang":"en","type":"article","venue":"The Annals of Thoracic Surgery","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University of British Columbia","funders":"","keywords":"Annals; Social media; Audience measurement; Medicine; Analytics; Cardiothoracic surgery; Specialty; Social media analytics; Surgery; World Wide Web; Data science; Advertising; Family medicine; Computer science","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":[0.01123336,0.000455748,0.0002907476,0.001307164,0.002466123,0.006490446,0.001183143,0.002482458,0.007299125],"category_scores_gemma":[0.01918201,0.0002631922,0.000259307,0.001454817,0.002381999,0.01182024,0.004369409,0.00553417,0.0009514409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943534,"about_ca_system_score_gemma":0.004360007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006859005,"about_ca_topic_score_gemma":0.02152264,"domain_scores_codex":[0.995795,0.002159916,0.0001625963,0.0002911276,0.0007857042,0.0008056029],"domain_scores_gemma":[0.978512,0.009202435,0.0008240033,0.000486613,0.002456156,0.008518834],"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":[0.0003089971,0.00258968,0.1306293,0.001412934,0.00007145753,0.00517945,0.1313768,0.0003579715,0.001011394,0.0232508,0.1054705,0.5983406],"study_design_scores_gemma":[0.00006755903,0.001163374,0.06273119,0.004811373,0.00006373879,0.005166871,0.4138406,0.0008214245,0.001145146,0.008415258,0.5016197,0.0001538026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5451094,0.03622709,0.004148045,0.3040135,0.005838395,0.0002262497,0.001000347,0.0001604633,0.1032764],"genre_scores_gemma":[0.9278832,0.03084446,0.003247014,0.01763139,0.002330679,0.0001127024,0.0005471235,0.0001208084,0.01728258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01123336,"threshold_uncertainty_score":0.05940837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4136832455994256,"score_gpt":0.5052474399667025,"score_spread":0.09156419436727692,"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."}}