{"id":"W4284959035","doi":"10.1016/j.asoc.2022.109289","title":"An optimal control policy in fighting COVID-19 and infectious diseases","year":2022,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McMaster University","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Coronavirus Infections; Betacoronavirus; Medicine; Computer science; Infectious disease (medical specialty); Outbreak; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00117974,0.0002099928,0.0005024335,0.0001492341,0.0008976113,0.00003862217,0.0002097528,0.00004750758,0.00004713741],"category_scores_gemma":[0.004797868,0.0002021968,0.00005592338,0.00036342,0.00009833092,0.00003646915,0.0005644096,0.0003422873,0.000001556038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004118743,"about_ca_system_score_gemma":0.0001086104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003140341,"about_ca_topic_score_gemma":0.00002906731,"domain_scores_codex":[0.9981011,0.000293358,0.0004535999,0.0004835207,0.0002020471,0.0004664174],"domain_scores_gemma":[0.9915125,0.007820235,0.0002185748,0.0002222639,0.00001440958,0.0002119551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002397113,0.0007473999,0.4137699,0.0005120873,0.0001395767,0.0000916608,0.007208035,0.3139581,0.0003359291,0.2353081,0.00131088,0.02637855],"study_design_scores_gemma":[0.009572475,0.0005805261,0.07698126,0.00004085525,0.0001544232,0.00006828961,0.004624837,0.3650883,0.00001301832,0.530565,0.01067569,0.001635358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965475,0.0002552299,0.09926941,0.001646702,0.00005898866,0.0007326718,0.00004444901,0.0006495418,0.0007955264],"genre_scores_gemma":[0.9906428,0.000003477503,0.002312885,0.00674491,0.0001708419,0.00008964985,0.000007381102,0.00002377605,0.000004307252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3367886,"threshold_uncertainty_score":0.8245348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07084384395126249,"score_gpt":0.3886052989540859,"score_spread":0.3177614550028234,"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."}}