{"id":"W3199050963","doi":"10.1101/2021.09.15.21263628","title":"COVID-19 Vaccination and Healthcare Demand","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Health Canada; Mount Allison University","funders":"","keywords":"Vaccination; Health care; Pandemic; Intervention (counseling); Globe; Coronavirus disease 2019 (COVID-19); Incidence (geometry); Healthcare system; Medicine; Business; Environmental health; Medical emergency; Virology; Economic growth; Economics; Nursing; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006113342,0.0002962787,0.0002483309,0.0004173834,0.0002872967,0.000903994,0.0005792188,0.0007061407,0.004810682],"category_scores_gemma":[0.003431821,0.0001954878,0.0003104424,0.0003958952,0.0004373375,0.0003669394,0.0003458599,0.0005788424,0.000348329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005326268,"about_ca_system_score_gemma":0.002899369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5709513,"about_ca_topic_score_gemma":0.2978454,"domain_scores_codex":[0.9997526,0.0000621987,0.000007365018,0.0000417803,0.00005094251,0.00008519963],"domain_scores_gemma":[0.9992797,0.0003458168,0.00009832862,0.00004011233,0.0001749587,0.00006108852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001097599,0.00007948308,0.0939843,0.00004109709,0.00003486325,0.00008618686,0.00009858876,0.8739315,0.0008130773,0.01825279,0.004394826,0.008173585],"study_design_scores_gemma":[0.00002375213,0.00004233746,0.03938866,0.00001923341,0.00001399143,0.00002017005,0.000114403,0.9502612,0.0005565332,0.006087981,0.003450419,0.00002116214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415499,0.000380682,0.02478657,0.004519562,0.00005977199,0.00008040087,0.009731912,0.0002342291,0.01865693],"genre_scores_gemma":[0.9928523,0.0001022025,0.001732225,0.00006034842,0.00001185987,0.0000137004,0.0012496,0.000008736002,0.003969139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5709513,"threshold_uncertainty_score":0.863151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3020760822943414,"score_gpt":0.4657720464986395,"score_spread":0.1636959642042982,"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."}}