{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03608759,0.00152589,0.00130001,0.02403006,0.001573989,0.004661062,0.001481033,0.001527649,0.02069199],"category_scores_gemma":[0.1319896,0.0006972041,0.001805015,0.0162112,0.001313915,0.006006835,0.004067703,0.001908957,0.004958985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535427,"about_ca_system_score_gemma":0.001768265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668719,"about_ca_topic_score_gemma":0.002521563,"domain_scores_codex":[0.9642773,0.02399093,0.004403278,0.002064348,0.004353128,0.0009110532],"domain_scores_gemma":[0.8470808,0.1086308,0.01829959,0.01034116,0.01392643,0.001721275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001809816,0.001085388,0.1311961,0.009386785,0.000959033,0.0006514468,0.07881998,0.002133028,0.009326059,0.02168442,0.1589705,0.5839775],"study_design_scores_gemma":[0.001385846,0.002682975,0.3226746,0.004644927,0.001031657,0.0008383156,0.1292136,0.04394944,0.01514533,0.04627486,0.4311699,0.0009885961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3876106,0.001719657,0.2893755,0.009352244,0.00369735,0.04294194,0.1386434,0.01248371,0.1141757],"genre_scores_gemma":[0.5243854,0.0007315645,0.3516678,0.003093398,0.001385791,0.08097274,0.02655144,0.001185271,0.01002655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03608759,"threshold_uncertainty_score":0.1908517,"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."}}