{"id":"W4210311172","doi":"10.2196/preprints.17741","title":"Online Impact and Presence of a Specialized Social Media Team for the Journal of Neurosurgery: Descriptive Analysis (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Publishing; Altmetrics; Psychology; Medicine; Advertising; Library science; Computer science; Political science; World Wide Web; Business","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002756247,0.000316252,0.0004322162,0.004188818,0.0007092701,0.002116623,0.0008298089,0.0006219009,0.01244137],"category_scores_gemma":[0.02905087,0.000271775,0.001072848,0.004720212,0.0006426794,0.002774341,0.001770837,0.001389813,0.002667014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008075832,"about_ca_system_score_gemma":0.001173294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005037523,"about_ca_topic_score_gemma":0.007263338,"domain_scores_codex":[0.9970936,0.0005003035,0.0006251704,0.0003953797,0.001016436,0.0003691697],"domain_scores_gemma":[0.9394609,0.03537736,0.01637116,0.001638923,0.004908221,0.002243497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004382092,0.0002061117,0.9731889,0.0005488978,0.000261104,0.00009665568,0.002024749,0.0001945352,0.0002527275,0.0003606196,0.01156733,0.01086013],"study_design_scores_gemma":[0.00001348217,0.0002143207,0.9916458,0.0001563232,0.00007124499,0.0001331671,0.004228738,0.0005076354,0.0001991761,0.0001055609,0.002691867,0.00003269339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539635,0.0003137784,0.0003495995,0.0005081188,0.00007021926,0.0002738004,0.03977204,0.00009057509,0.004658434],"genre_scores_gemma":[0.9809521,0.0003026384,0.0009801692,0.000248794,0.0002010645,0.001175861,0.01357961,0.00008910534,0.002470647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978834,"threshold_uncertainty_score":0.04162049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2037205430709189,"score_gpt":0.4403661845524074,"score_spread":0.2366456414814885,"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."}}