{"id":"W3183729605","doi":"10.12927/hcq.2021.26553","title":"The Role of a Resilient Information Infrastructure in COVID-19 Vaccine Uptake in Ontario","year":2021,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; Toronto Public Health","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Government (linguistics); Vaccination; Business; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Public relations; Medicine; Virology; Political science; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003694824,0.0001226789,0.0002319955,0.001406938,0.002793789,0.003305147,0.0008887296,0.0004093317,0.002699426],"category_scores_gemma":[0.01969248,0.0003057043,0.0002397049,0.002807338,0.001600482,0.001700416,0.002587113,0.000824947,0.0002127131],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06681885,"about_ca_system_score_gemma":0.1138002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845184,"about_ca_topic_score_gemma":0.9878883,"domain_scores_codex":[0.996374,0.0007153048,0.000266907,0.0003277231,0.001340737,0.0009753486],"domain_scores_gemma":[0.9842851,0.003915711,0.00242376,0.0006221157,0.005354466,0.003398796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002106702,0.0001208862,0.7677919,0.0008553761,0.0001060253,0.0006483417,0.03596672,0.002800144,0.001818541,0.01551838,0.03149192,0.1426712],"study_design_scores_gemma":[0.00004464306,0.0001381834,0.8581674,0.0007328494,0.00007701178,0.0001426514,0.02093587,0.004933177,0.001055179,0.002352664,0.1113412,0.00007903304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8393536,0.003538322,0.002406188,0.07579066,0.0001149593,0.000522195,0.009179315,0.0002329757,0.06886187],"genre_scores_gemma":[0.9931613,0.001202349,0.001149637,0.0008969362,0.00002431403,0.00005477971,0.000775875,0.00001751516,0.002717231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9331812,"threshold_uncertainty_score":0.484807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009286968698295935,"score_gpt":0.2828414050634834,"score_spread":0.2735544363651874,"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."}}