{"id":"W2471536766","doi":"10.1016/j.wneu.2016.06.134","title":"Social Media for Academic Neurosurgical Programs: The University of Toronto Experience","year":2016,"lang":"en","type":"article","venue":"World Neurosurgery","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Hospital for Sick Children; Toronto Western Hospital; University of Toronto","funders":"","keywords":"Social media; Demographics; Visibility; Medicine; Academic institution; Medical education; Internet privacy; Advertising; Demography; World Wide Web; Library science; Computer science; Sociology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008253881,0.00008923774,0.0001788072,0.00002983949,0.0007759283,0.00001361336,0.0003900604,0.00009644095,0.000188372],"category_scores_gemma":[0.003788166,0.0000661392,0.0001259721,0.0002969894,0.001022491,0.0002505083,0.00004055045,0.0001121455,0.00000817188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775505,"about_ca_system_score_gemma":0.0003145722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167205,"about_ca_topic_score_gemma":0.006574451,"domain_scores_codex":[0.9982715,0.0004217333,0.0002488581,0.0002424456,0.0004032487,0.0004122532],"domain_scores_gemma":[0.9901186,0.009272194,0.000214573,0.0001428762,0.0001117957,0.0001399343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003340495,0.0002036825,0.1601654,0.00004986971,0.00001143283,0.000007906524,0.2331726,1.342775e-7,0.001958423,0.05803533,0.03620815,0.509853],"study_design_scores_gemma":[0.000204249,0.00001517312,0.08969531,0.00002990523,0.00001149271,4.490595e-7,0.004604439,0.000001233691,0.000116297,0.00053761,0.9046654,0.0001184202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564437,0.0002618676,0.00004702237,0.03162185,0.008452846,0.001396039,0.00001126048,0.000141874,0.001623599],"genre_scores_gemma":[0.9972929,0.0005217586,0.00002629288,0.0002301012,0.00144901,0.0001088772,0.000001228921,0.00001305199,0.0003567712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8684573,"threshold_uncertainty_score":0.5967891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161692886226458,"score_gpt":0.3814504635163262,"score_spread":0.2197575772898681,"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."}}