{"id":"W2930122242","doi":"10.2196/13870","title":"A New Tool for Public Health Opinion to Give Insight Into Telemedicine: Twitter Poll Analysis","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Public opinion; Order (exchange); Internet privacy; Social media; Public health; Coronavirus disease 2019 (COVID-19); Health care; Public relations; Opinion poll; Computer science; World Wide Web; Business; Advertising; Political science; Medicine; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006662241,0.0001258438,0.0003764936,0.001355639,0.0009708956,0.0001689417,0.0004968396,0.0001438049,0.0006336414],"category_scores_gemma":[0.003503929,0.0001140406,0.000119928,0.005386115,0.0001585771,0.0006856233,0.0001084628,0.000414142,0.0005618168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910413,"about_ca_system_score_gemma":0.00434877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057306,"about_ca_topic_score_gemma":0.003005657,"domain_scores_codex":[0.9952921,0.001125203,0.0004859505,0.0003449975,0.00157023,0.001181487],"domain_scores_gemma":[0.9945536,0.003047616,0.0001648312,0.0003256224,0.001019989,0.0008882904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004189444,0.0000799484,0.02041813,0.0001472234,0.00007755461,7.708916e-8,0.8057086,0.000001069503,0.00000953002,0.007074863,0.0787311,0.08771004],"study_design_scores_gemma":[0.000483062,0.0006958613,0.08465172,0.00005276084,0.000005138168,8.620809e-8,0.05294825,0.00006710421,0.00001373409,0.001292686,0.8596422,0.0001473638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4891139,0.0003896955,0.01130673,0.4641349,0.005899666,0.01988211,0.00002767769,0.0001528341,0.009092467],"genre_scores_gemma":[0.9878225,0.0001625832,0.002579246,0.002172413,0.002194138,0.003797024,0.00008525009,0.00002355769,0.001163298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7809111,"threshold_uncertainty_score":0.985949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2514904200521373,"score_gpt":0.5535597381543744,"score_spread":0.3020693181022371,"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."}}