{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003221509,0.000260149,0.0006015384,0.0003139563,0.0006522,0.0001479523,0.0003692116,0.0001723779,0.01180877],"category_scores_gemma":[0.0002836804,0.0002519237,0.0003682419,0.001593105,0.000003734405,0.0002173199,0.000122096,0.0001643151,0.001944785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389648,"about_ca_system_score_gemma":0.0001774748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380631,"about_ca_topic_score_gemma":0.02752204,"domain_scores_codex":[0.9975409,0.0002336227,0.000424748,0.0006477478,0.0006040424,0.0005489722],"domain_scores_gemma":[0.9984667,0.000364839,0.0001293702,0.0004388169,0.0003265475,0.0002737485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002084425,0.0005085918,0.1265296,0.00001112759,0.00121858,0.0002141446,0.01535767,0.00005216973,0.001155714,0.004714036,0.842195,0.007834859],"study_design_scores_gemma":[0.001230958,0.00003862526,0.8351963,0.00002828645,0.001056841,5.36199e-7,0.002950398,0.00001093708,0.002876538,0.002796753,0.1531788,0.0006350196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365181,0.002126744,0.0002351559,0.05302564,0.001958482,0.0002705402,0.0001117848,0.0001950504,0.005558548],"genre_scores_gemma":[0.9749655,0.0005397742,0.0004993064,0.001884845,0.003839612,0.00002626435,0.0001533568,0.00003683036,0.01805451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7086667,"threshold_uncertainty_score":0.9999933,"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."}}