{"id":"W3114178403","doi":"10.2196/24681","title":"Public Perspectives on Anti-Diabetic Drugs: Exploratory Analysis of Twitter Posts","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institutes of Health; National Institute for Health and Care Research","keywords":"Exploratory analysis; Social media; Exploratory research; Internet privacy; Business; Sociology; Computer science; World Wide Web; Data science; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002210431,0.0003218018,0.0003249618,0.003529026,0.001210882,0.001870447,0.0003656604,0.0005157834,0.002090892],"category_scores_gemma":[0.01149873,0.0002133275,0.0003637944,0.003949451,0.0008653702,0.002642981,0.002177386,0.0006203753,0.0004982373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008833623,"about_ca_system_score_gemma":0.0006298946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003318994,"about_ca_topic_score_gemma":0.004828569,"domain_scores_codex":[0.9984663,0.0007548298,0.0001006117,0.000142276,0.0002967657,0.0002393707],"domain_scores_gemma":[0.9860563,0.01081066,0.001648233,0.0003175397,0.000926167,0.000241035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008151624,0.0002014314,0.2925896,0.001912408,0.0001096868,0.002163939,0.6104406,0.0006571421,0.01389768,0.003525452,0.007817208,0.06586961],"study_design_scores_gemma":[0.00002657245,0.0002173464,0.3799812,0.0005290639,0.00007648901,0.0006282643,0.5792468,0.004539514,0.003737833,0.001970321,0.02894986,0.00009683474],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914415,0.0001277638,0.001011222,0.0006400674,0.00001836324,0.0001546314,0.003561365,0.00002148039,0.003023542],"genre_scores_gemma":[0.9924979,0.0002745313,0.002684654,0.0002166161,0.00004399534,0.0005088515,0.002506109,0.00002800958,0.0012393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003529026,"threshold_uncertainty_score":0.01169008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243247562882562,"score_gpt":0.3715332571105199,"score_spread":0.2472085008222637,"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."}}