{"id":"W4312114802","doi":"10.2196/40291","title":"Prepandemic Antivaccination Websites' COVID-19 Vaccine Behavior: Content Analysis of Archived Websites","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"University of Pennsylvania","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Skepticism; Internet privacy; Content analysis; Data collection; Business; Advertising; Public relations; World Wide Web; Political science; Medicine; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004567588,0.0002276089,0.0003528452,0.005505539,0.0007227579,0.002880258,0.0005679593,0.0005328974,0.001361418],"category_scores_gemma":[0.03490374,0.0002341872,0.0004107697,0.00495804,0.000779088,0.002781737,0.001416555,0.0007538624,0.0003983323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367709,"about_ca_system_score_gemma":0.001043457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005148372,"about_ca_topic_score_gemma":0.005798017,"domain_scores_codex":[0.9970498,0.001220126,0.0003848934,0.0003254945,0.0008126704,0.000207086],"domain_scores_gemma":[0.9443214,0.03306128,0.01127543,0.00253377,0.007644517,0.001163639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000579769,0.0009698139,0.8030707,0.001321295,0.000154778,0.0004537675,0.1103177,0.000342246,0.004295188,0.001030327,0.003570018,0.0738943],"study_design_scores_gemma":[0.00001896963,0.0002274236,0.9378294,0.0004184782,0.0000836246,0.0002594254,0.04785105,0.00209911,0.00199638,0.0002906563,0.008859514,0.00006584359],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968544,0.00008550021,0.0002266393,0.00006685973,0.000004782253,0.0001454079,0.001116704,0.00001978272,0.00148006],"genre_scores_gemma":[0.9924666,0.0002396903,0.002637749,0.0001041445,0.000020496,0.0004324452,0.002781091,0.00004546803,0.001272151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005505539,"threshold_uncertainty_score":0.02415603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477923301060534,"score_gpt":0.4637779235262012,"score_spread":0.3159855934201478,"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."}}