{"id":"W4377092896","doi":"10.2196/45392","title":"Expert Credibility and Sentiment in Infodemiology of Hydroxychloroquine’s Efficacy on Cable News Programs: Empirical Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Colorado Denver","keywords":"Credibility; Hydroxychloroquine; Government (linguistics); Public health; Population; Advertising; Health communication; Cable television; Public relations; The Internet; Pandemic; Medicine; Political science; Internet privacy; Business; Coronavirus disease 2019 (COVID-19); Computer science; Telecommunications; World Wide Web; Law; Pathology; Environmental health","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01371244,0.0003380988,0.0004518815,0.002345113,0.001008585,0.002696448,0.000675584,0.0009543556,0.004341392],"category_scores_gemma":[0.0992546,0.0003067038,0.0005230241,0.002271457,0.001689256,0.001985106,0.001781688,0.001664924,0.0003946119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053605,"about_ca_system_score_gemma":0.001008324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007950478,"about_ca_topic_score_gemma":0.005955575,"domain_scores_codex":[0.9893503,0.006110365,0.0009111665,0.0008413691,0.002266197,0.000520622],"domain_scores_gemma":[0.7607901,0.1741399,0.04666997,0.003457491,0.01245977,0.002482648],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005940216,0.0002695931,0.896908,0.0008330522,0.0002932317,0.0003974241,0.08564743,0.0002658573,0.0005647932,0.0009309717,0.002155849,0.01113983],"study_design_scores_gemma":[0.00004856315,0.0001458769,0.9173745,0.0004404764,0.0001830005,0.0001780391,0.07580926,0.00199507,0.0002882147,0.0004185014,0.003078112,0.00004038166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945999,0.0001880835,0.0002932545,0.0003420256,0.00002102465,0.0001141245,0.0004967808,0.000002776875,0.003942041],"genre_scores_gemma":[0.9985822,0.0001666375,0.0002833038,0.0001184943,0.00004223934,0.000142747,0.0003504443,0.000006102321,0.0003076864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9862875,"threshold_uncertainty_score":0.07251918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1259324535586556,"score_gpt":0.4621122922938672,"score_spread":0.3361798387352116,"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."}}