{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490653,0.0004697279,0.0003390741,0.002458398,0.0004850293,0.0009174236,0.000360682,0.0006688056,0.001117325],"category_scores_gemma":[0.006452736,0.0001856947,0.0007249773,0.001484156,0.000400988,0.001295294,0.000823172,0.0006631712,0.0008600824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709983,"about_ca_system_score_gemma":0.0004545726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005836703,"about_ca_topic_score_gemma":0.009705748,"domain_scores_codex":[0.9992771,0.0002492147,0.00007237195,0.0001968668,0.000105067,0.00009936927],"domain_scores_gemma":[0.9960535,0.002746365,0.0005407712,0.000189447,0.0003053095,0.0001646809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008794793,0.000670116,0.8705793,0.0004017582,0.0002907437,0.0004507168,0.001741658,0.006581979,0.005129765,0.0006087399,0.006781493,0.1058843],"study_design_scores_gemma":[0.00005113982,0.0003890667,0.7054612,0.0001401388,0.0001861926,0.0004440798,0.004488929,0.2761707,0.003114025,0.001479182,0.008013298,0.00006198799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900985,0.0002750423,0.002879995,0.000514052,0.00007223323,0.0001131954,0.003889475,0.0001091234,0.002048413],"genre_scores_gemma":[0.9901186,0.0001673599,0.003084411,0.00006611443,0.00008937062,0.00008915405,0.005508236,0.00001641054,0.0008603099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005836703,"threshold_uncertainty_score":0.01160544,"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."}}