{"id":"W4375954994","doi":"10.1111/pan.14690","title":"An exploratory analysis of pediatric anesthesia activity on Twitter using the #pedsanes hashtag","year":2023,"lang":"en","type":"article","venue":"Pediatric Anesthesia","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Exploratory analysis; Anesthesia; Data 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002733775,0.0002485632,0.0004889583,0.001208051,0.0009362377,0.00008203344,0.0006613769,0.0002720933,0.0001083717],"category_scores_gemma":[0.0007744662,0.0002126845,0.0002404413,0.009963861,0.0002480336,0.000390241,0.00001893786,0.0002870444,0.00009718737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143602,"about_ca_system_score_gemma":0.0009227651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002443045,"about_ca_topic_score_gemma":0.000241082,"domain_scores_codex":[0.9958243,0.001413684,0.000464697,0.0004918016,0.00112235,0.0006831244],"domain_scores_gemma":[0.9953727,0.002909272,0.0005403774,0.0006355281,0.0002534556,0.0002886823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004173511,0.0002436655,0.9428969,0.00005188344,0.0000614176,0.00003806768,0.0527855,0.0007146322,0.00001840913,0.000374294,0.0013228,0.00145067],"study_design_scores_gemma":[0.000172769,0.0001297654,0.9813344,0.000004119868,0.001943359,0.000003138855,0.01172053,0.001211668,0.00002704199,0.0001650381,0.002889601,0.0003985506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940106,0.0001969267,0.0000311325,0.00417274,0.0004695161,0.0008123157,0.000001930008,0.0002465572,0.00005834141],"genre_scores_gemma":[0.9937485,0.0008911519,0.00009269552,0.0003911761,0.00453263,0.0002569681,0.0000132634,0.00004153606,0.00003206871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04106497,"threshold_uncertainty_score":0.8673021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576806255029753,"score_gpt":0.4044022257615104,"score_spread":0.2467216002585351,"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."}}