{"id":"W3132354137","doi":"10.2196/26874","title":"COVID-19 Vaccine Hesitancy in Canada: Content Analysis of Tweets Using the Theoretical Domains Framework","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Public Health Ontario; Women's College Hospital; University of Toronto; Douglas College","funders":"","keywords":"Context (archaeology); Public relations; Inclusion (mineral); Pandemic; Content analysis; Social media; Politics; Coronavirus disease 2019 (COVID-19); Public health; Political science; Medicine; Psychology; Sociology; Social psychology; Nursing; Social science; Law; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001952369,0.0003605665,0.0002868371,0.004536984,0.00477958,0.003739351,0.000752873,0.0005582059,0.001805536],"category_scores_gemma":[0.009499468,0.0002002619,0.0003871848,0.009568085,0.001866342,0.001324767,0.001981602,0.0009568399,0.0002363338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03706197,"about_ca_system_score_gemma":0.03812214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9450151,"about_ca_topic_score_gemma":0.9450993,"domain_scores_codex":[0.998703,0.0002251157,0.00008656796,0.0001712265,0.000439829,0.0003742438],"domain_scores_gemma":[0.9922749,0.003254752,0.001008276,0.0001554265,0.002775165,0.0005314651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003144921,0.000082587,0.4434824,0.001718982,0.00006959984,0.001386759,0.4479405,0.000897735,0.003237572,0.006579787,0.03098747,0.06330196],"study_design_scores_gemma":[0.00001796947,0.00002765428,0.4869288,0.0006822684,0.00007945856,0.0001717459,0.4419703,0.004207057,0.001176622,0.001090387,0.06356039,0.00008732411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515163,0.0009255289,0.002245811,0.005560322,0.00008657789,0.0006062899,0.02319058,0.00008810616,0.01578058],"genre_scores_gemma":[0.9837552,0.001130198,0.003317625,0.0006737912,0.00003319367,0.0004809437,0.007151549,0.00003766494,0.003419957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05498493,"threshold_uncertainty_score":0.2689047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302897685553505,"score_gpt":0.4555046198375129,"score_spread":0.3252148512821624,"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."}}