{"id":"W3119674340","doi":"10.1108/jhr-06-2020-0212","title":"Immunization during COVID-19: let the ninja dance with the dragon","year":2021,"lang":"en","type":"article","venue":"Journal of Health Research","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Immunization; Poliomyelitis; Measles; Pandemic; Medicine; Health care; Public health; Environmental health; Disease; Vaccination; Economic growth; Pediatrics; Coronavirus disease 2019 (COVID-19); Immunology; Nursing; Infectious disease (medical specialty); Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009611626,0.0008230183,0.0006600485,0.0007291489,0.00752811,0.006003889,0.001951083,0.006173062,0.01677448],"category_scores_gemma":[0.02482522,0.0004495763,0.0008177909,0.000471459,0.00594141,0.006265741,0.00577097,0.01331898,0.002718166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005206107,"about_ca_system_score_gemma":0.01776939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02431984,"about_ca_topic_score_gemma":0.06799027,"domain_scores_codex":[0.9948254,0.002799593,0.000277546,0.0005212288,0.0005588434,0.001017497],"domain_scores_gemma":[0.9910029,0.00321141,0.0008956538,0.0003834152,0.00131383,0.003192832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001886877,0.00009541612,0.003686674,0.001192852,0.00004449351,0.0007663217,0.00752863,0.00005619483,0.0002254113,0.009594083,0.9196361,0.05698499],"study_design_scores_gemma":[0.00005309419,0.0001537264,0.00442763,0.007266809,0.00006769384,0.0003665018,0.02368103,0.00004542245,0.0002208984,0.006228124,0.9574116,0.00007747928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004196304,0.0220394,0.0003070266,0.8605866,0.09387282,0.0001116401,0.000255935,0.00008159712,0.01854865],"genre_scores_gemma":[0.06047405,0.04406748,0.002516187,0.8098099,0.04448716,0.0005961504,0.0002838678,0.0002339611,0.03753116],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02431984,"threshold_uncertainty_score":0.05611622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1826829937393975,"score_gpt":0.4928987936774628,"score_spread":0.3102157999380653,"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."}}