{"id":"W4385341597","doi":"10.32920/ihtp.v3i2.1873","title":"Vaccination misinformation and social media","year":2023,"lang":"en","type":"article","venue":"International Health Trends and Perspectives","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Social media; Vaccination; Internet privacy; Psychology; Virology; Medicine; Computer science; World Wide Web; Computer security","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":[0.005572065,0.0002915529,0.0003568759,0.001651787,0.002504856,0.003228529,0.0008722421,0.002654963,0.1062102],"category_scores_gemma":[0.05566414,0.0001966692,0.0005051214,0.001936189,0.0008970667,0.002486163,0.001724351,0.001476111,0.01960421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310205,"about_ca_system_score_gemma":0.005097552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842236,"about_ca_topic_score_gemma":0.02293919,"domain_scores_codex":[0.9947112,0.002007987,0.0005620312,0.000373378,0.00171225,0.0006331786],"domain_scores_gemma":[0.947068,0.02526139,0.006308916,0.003432075,0.01407531,0.003854228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001225788,0.0001636231,0.0165386,0.00302215,0.000129132,0.0003237097,0.0007571535,0.00006360297,0.000520803,0.005389833,0.8127564,0.1591092],"study_design_scores_gemma":[0.000285597,0.0002480813,0.07067304,0.01019242,0.0001758169,0.0006988235,0.003742649,0.0003101995,0.0009974317,0.003294431,0.9093277,0.00005381897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03735823,0.02260544,0.00104265,0.2277818,0.0415355,0.0008394504,0.03165092,0.0003485684,0.6368374],"genre_scores_gemma":[0.5218987,0.04244553,0.002089205,0.1708133,0.02370179,0.003420199,0.01358594,0.0003185154,0.2217269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1062102,"threshold_uncertainty_score":0.3553084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07775747564770345,"score_gpt":0.4084374592951655,"score_spread":0.330679983647462,"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."}}