{"id":"W3120764866","doi":"10.3390/vaccines9010028","title":"Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019","year":2021,"lang":"en","type":"article","venue":"Vaccines","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Social media; Disinformation; Sentiment analysis; Homogeneous; Promotion (chess); Microblogging; Demography; Medicine; Advertising; Political science; Computer science; Sociology; Business; Artificial intelligence; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008213776,0.0003201792,0.0002866873,0.001472875,0.0004566179,0.0008352068,0.0001702226,0.0003954427,0.0008961188],"category_scores_gemma":[0.003090838,0.00009275894,0.0003995403,0.001058681,0.0002101055,0.0005491242,0.0004333622,0.000373729,0.0005660078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004691343,"about_ca_system_score_gemma":0.0002461775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00528038,"about_ca_topic_score_gemma":0.007811671,"domain_scores_codex":[0.9995819,0.00008806181,0.00005016749,0.00006050028,0.0001398866,0.00007950237],"domain_scores_gemma":[0.9984199,0.0005687593,0.0003644389,0.00004089971,0.0004977423,0.0001082318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001646667,0.0004514686,0.762592,0.0009108873,0.0002651036,0.002188501,0.007209283,0.003130756,0.02005844,0.000687112,0.03549202,0.1653678],"study_design_scores_gemma":[0.00002106565,0.0002768102,0.942307,0.000134227,0.0001555489,0.0004826541,0.006403654,0.02014725,0.006883336,0.000350003,0.02277804,0.00006038032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896781,0.0002688274,0.0006272441,0.0005339584,0.0001332777,0.00007098744,0.004847492,0.00005303642,0.003786975],"genre_scores_gemma":[0.9883335,0.0003757704,0.001339606,0.0001424478,0.0001894317,0.00009912973,0.006867341,0.00001796353,0.002634813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00528038,"threshold_uncertainty_score":0.0104993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325145046395474,"score_gpt":0.291823555684443,"score_spread":0.2685721052204882,"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."}}