{"id":"W3215248151","doi":"10.4103/2468-8827.330649","title":"Modeling pandemics and vaccine and equity issues","year":2021,"lang":"en","type":"article","venue":"International Journal of Noncommunicable Diseases","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Fields Institute for Research in Mathematical Sciences; McMaster University; Public Health Ontario; University of Toronto","funders":"","keywords":"Pandemic; Equity (law); Coronavirus disease 2019 (COVID-19); Political science; Virology; Medicine; Infectious disease (medical specialty); Law; Disease; Internal medicine","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":[0.001444172,0.0006205841,0.0005744345,0.0006580098,0.0006518252,0.001538776,0.00119102,0.0016707,0.003522483],"category_scores_gemma":[0.005334166,0.0003112826,0.0006920162,0.000704511,0.001375326,0.001909503,0.001164999,0.001193964,0.0001288113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005303359,"about_ca_system_score_gemma":0.003124197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1111687,"about_ca_topic_score_gemma":0.0891935,"domain_scores_codex":[0.9994605,0.0002806105,0.00001594195,0.00005196607,0.00007749769,0.0001134881],"domain_scores_gemma":[0.9982557,0.001147108,0.0002804139,0.00005210279,0.0001415802,0.0001231384],"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":[0.00001683774,0.00002823882,0.002639763,0.00004955367,0.00002774021,0.0001125826,0.0001927866,0.5606489,0.0001816927,0.4282769,0.002949077,0.004875939],"study_design_scores_gemma":[0.00001699344,0.00002508296,0.001243858,0.00003119714,0.00001521534,0.00004593356,0.0002427935,0.7149562,0.00008406103,0.2764381,0.006885945,0.00001475738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.283948,0.008567559,0.5120708,0.05691628,0.0007605244,0.000220009,0.001894325,0.0001423465,0.1354802],"genre_scores_gemma":[0.9610237,0.003078046,0.01786652,0.0004792704,0.0004049521,0.00007853106,0.0002222011,0.00003105965,0.01681567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1111687,"threshold_uncertainty_score":0.2210432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2890943179531587,"score_gpt":0.5043599157827783,"score_spread":0.2152655978296196,"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."}}