{"id":"W4221106178","doi":"10.1016/j.vaccine.2022.03.024","title":"Hesitancy towards COVID-19 vaccines on social media in Canada","year":2022,"lang":"en","type":"article","venue":"Vaccine","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Université Laval; Institut National de Santé Publique du Québec; University of Waterloo","funders":"","keywords":"Misinformation; Social media; Pandemic; Health communication; Internet privacy; Coronavirus disease 2019 (COVID-19); Public health; Vaccination; Public relations; Medicine; Political science; Computer science; World Wide Web; Virology; Nursing","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":[0.003190377,0.0001860077,0.0003426539,0.002227726,0.007134198,0.006152709,0.001174944,0.001917905,0.01050882],"category_scores_gemma":[0.02174783,0.0004235973,0.0004728411,0.003056757,0.002407924,0.001706644,0.002005212,0.003781094,0.0005547561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06079141,"about_ca_system_score_gemma":0.1068739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925257,"about_ca_topic_score_gemma":0.9946801,"domain_scores_codex":[0.9943955,0.0009425153,0.0002317756,0.0003271984,0.002589912,0.001513214],"domain_scores_gemma":[0.9621832,0.008452061,0.005360905,0.0005079672,0.01349366,0.01000213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005203691,0.0004285557,0.7175108,0.0003988884,0.0002170245,0.001118092,0.04822307,0.0005842008,0.0007262621,0.00908437,0.1411618,0.08002649],"study_design_scores_gemma":[0.00006432471,0.0001455051,0.7723083,0.0006840108,0.0001488708,0.0002444096,0.07463502,0.001600529,0.0006368663,0.0009633357,0.1483846,0.0001842005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7742512,0.003590911,0.0002062731,0.1486359,0.0008693436,0.0001491341,0.003955823,0.0000568809,0.0682845],"genre_scores_gemma":[0.9705058,0.002373905,0.0001590763,0.01116553,0.0001934481,0.00002984177,0.0004135005,0.00003454212,0.01512432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06079141,"threshold_uncertainty_score":0.4410747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04768451511493287,"score_gpt":0.3180497130727093,"score_spread":0.2703651979577764,"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."}}