{"id":"W3204815115","doi":"10.2196/29789","title":"Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Singapore General Hospital","keywords":"Social media; Thematic analysis; Coronavirus disease 2019 (COVID-19); Vaccination; Public health; Sentiment analysis; Psychology; Public opinion; Computer science; Medicine; Internet privacy; Artificial intelligence; Qualitative research; World Wide Web; Political science; Sociology; Virology; Infectious disease (medical specialty); 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":[0.003599243,0.0000836723,0.0003128186,0.00007695713,0.0004223018,0.00005034208,0.000155976,0.00009006757,0.000506686],"category_scores_gemma":[0.003616864,0.00007251059,0.00003889838,0.000720306,0.00004873652,0.0001786896,0.00005558275,0.0002087113,0.000001010888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006369,"about_ca_system_score_gemma":0.002383888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004589105,"about_ca_topic_score_gemma":0.008568017,"domain_scores_codex":[0.9971716,0.001465948,0.0004313156,0.000225143,0.0003395642,0.0003664425],"domain_scores_gemma":[0.9981914,0.0009988071,0.000196672,0.0001310448,0.0002348752,0.0002472494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001786541,0.00004376634,0.8886636,0.0001511346,0.000004821686,0.000003407137,0.08417217,4.39784e-7,0.000004997322,0.00145821,0.001539382,0.02394022],"study_design_scores_gemma":[0.0005753816,0.000024615,0.9377429,0.000007686656,2.572963e-7,0.000001043869,0.02593866,0.00006452154,0.000001094175,0.0001978812,0.03537749,0.0000684032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487783,0.001639771,0.0000819563,0.04531994,0.0001122931,0.0002155911,0.000007114947,0.00002271669,0.003822312],"genre_scores_gemma":[0.9974416,0.0005410262,0.00002126022,0.001727239,0.0001290976,0.00001460634,0.00001921027,0.000005568278,0.000100385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05823351,"threshold_uncertainty_score":0.5547857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09135955434418144,"score_gpt":0.3626261155743415,"score_spread":0.2712665612301601,"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."}}