{"id":"W4409882484","doi":"10.32388/hisnx4.2","title":"A Population-Based Model for Rationing COVID-19 Vaccine","year":2023,"lang":"en","type":"preprint","venue":"Qeios","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Population; Economics; Medicine; Environmental health; Outbreak; Internal medicine; Infectious disease (medical specialty)","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":[0.003921709,0.0009032514,0.001469423,0.0011752,0.0005260357,0.002332976,0.002244674,0.002605433,0.01371616],"category_scores_gemma":[0.009099704,0.0007708902,0.001495285,0.001371294,0.0009480878,0.001380746,0.001127846,0.002134251,0.001479394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003391898,"about_ca_system_score_gemma":0.002296497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05097579,"about_ca_topic_score_gemma":0.02220975,"domain_scores_codex":[0.9987693,0.0006787777,0.0000350637,0.0002861482,0.0000641692,0.0001665059],"domain_scores_gemma":[0.9975066,0.0018386,0.0002238054,0.00008618615,0.0002041345,0.0001407549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003228623,0.0001303401,0.01546416,0.00009585467,0.0002198693,0.0003218679,0.0001863378,0.9057192,0.0002471673,0.05742388,0.006748292,0.01312018],"study_design_scores_gemma":[0.00007802492,0.00006569142,0.002234342,0.00002201705,0.00006192012,0.00007743073,0.0000829792,0.9798829,0.00003466101,0.01469334,0.002747029,0.00001968498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3603216,0.002276671,0.5603065,0.01169871,0.0007034875,0.0009983933,0.01766893,0.000905535,0.04512016],"genre_scores_gemma":[0.8882632,0.0009838394,0.06543763,0.0006940459,0.0002442967,0.0008939002,0.003211031,0.000113357,0.0401588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05097579,"threshold_uncertainty_score":0.1013582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3031168206655966,"score_gpt":0.4808175852554994,"score_spread":0.1777007645899028,"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."}}