{"id":"W4307303105","doi":"10.2196/preprints.43728","title":"Pediatric COVID-19 vaccine hesitancy in Canada: An analysis of Tweets (Preprint)","year":2022,"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":"Misinformation; Coronavirus disease 2019 (COVID-19); Medicine; Family medicine; Population; Pediatrics; Political science; Environmental health; Pathology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171777,0.0003276705,0.0004291076,0.002916795,0.003296028,0.002330739,0.0006071936,0.0006018081,0.002288119],"category_scores_gemma":[0.01043115,0.0002202692,0.0003991113,0.006918307,0.000760717,0.001082832,0.001444411,0.0009578851,0.00046556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01564666,"about_ca_system_score_gemma":0.01891816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8962883,"about_ca_topic_score_gemma":0.9082994,"domain_scores_codex":[0.9985155,0.0001822912,0.000107957,0.0001768614,0.0005812733,0.0004361306],"domain_scores_gemma":[0.9911465,0.0030873,0.001240092,0.0001299349,0.003743636,0.0006525104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006561613,0.000119145,0.638855,0.003106101,0.000126523,0.001413336,0.2055414,0.0004206442,0.002444192,0.00167379,0.08647308,0.05917059],"study_design_scores_gemma":[0.00001357173,0.00003575607,0.7171831,0.0008330301,0.00007783298,0.000177936,0.2060803,0.00131145,0.0008171187,0.0001853793,0.07320049,0.0000840943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91948,0.001932733,0.0004458987,0.006103787,0.0001966669,0.0003495233,0.06030792,0.00009139214,0.01109213],"genre_scores_gemma":[0.9659792,0.003314578,0.001327125,0.001397848,0.00009741794,0.0005055064,0.02192218,0.00006960407,0.005386516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1037117,"threshold_uncertainty_score":0.2086449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134461784628371,"score_gpt":0.3250805068215592,"score_spread":0.2937358889752755,"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."}}