{"id":"W4380028167","doi":"10.2196/preprints.49753","title":"Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vaccination; Confidence interval; Coronavirus disease 2019 (COVID-19); Medicine; Pandemic; Observational study; Family medicine; Demography; Virology; Internal medicine; Infectious disease (medical specialty); Sociology","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":[0.001340162,0.0003246422,0.0003286052,0.0005604017,0.0004448188,0.0007703644,0.0004572453,0.0006376979,0.003016032],"category_scores_gemma":[0.007216594,0.0002988087,0.0007590649,0.001035232,0.0002347033,0.001077607,0.0009772615,0.001317177,0.0009028405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515245,"about_ca_system_score_gemma":0.0006000358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269441,"about_ca_topic_score_gemma":0.02213195,"domain_scores_codex":[0.9993536,0.0002275202,0.00006508761,0.0001473611,0.00005507628,0.0001513999],"domain_scores_gemma":[0.9974403,0.0008131686,0.0007854337,0.0002066261,0.0004569561,0.000297368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001598954,0.0001134734,0.9897326,0.00007550253,0.000137831,0.00007494848,0.0003628191,0.0004635618,0.00009215929,0.0001396188,0.003971456,0.00467611],"study_design_scores_gemma":[0.0000255038,0.0002066599,0.9852902,0.000119766,0.0001452583,0.0001664305,0.002386914,0.008530195,0.000204584,0.0002958621,0.002591824,0.00003678699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823401,0.0002582258,0.0006547534,0.000749092,0.0000452782,0.00003414605,0.01496186,0.00002235529,0.0009341071],"genre_scores_gemma":[0.99038,0.0002137157,0.0005389346,0.0001708539,0.00003692174,0.0001032893,0.00779204,0.00001089681,0.000753193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02269441,"threshold_uncertainty_score":0.04512465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1010151560949765,"score_gpt":0.3728331307648019,"score_spread":0.2718179746698254,"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."}}