{"id":"W4296559008","doi":"10.1109/adconip55568.2022.9894205","title":"Robust pandemic control through linearizing variable transformation","year":2022,"lang":"en","type":"article","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Control theory (sociology); Robust control; Computer science; Transformation (genetics); Model transformation; Nonlinear system; Variable (mathematics); Linear fractional transformation; Gain scheduling; Scheduling (production processes); Robustness (evolution); Stability (learning theory); Linear system; Mathematical optimization; Control engineering; Control (management); Mathematics; Engineering; Artificial intelligence","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":[0.0008601352,0.001043994,0.0005814061,0.000268563,0.0003489564,0.0009708493,0.0006063551,0.0005476975,0.002554024],"category_scores_gemma":[0.001341084,0.0002385983,0.0005245836,0.0002801685,0.001018559,0.0005377078,0.001232535,0.001111506,0.000326621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005979195,"about_ca_system_score_gemma":0.000613754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003200988,"about_ca_topic_score_gemma":0.001445355,"domain_scores_codex":[0.9995159,0.0001392759,0.00001945478,0.0001371026,0.0001049908,0.00008337659],"domain_scores_gemma":[0.9993485,0.0003244255,0.0001163232,0.00005173013,0.0001391749,0.000019948],"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":[0.0001994364,0.00005762638,0.0002905804,0.0001474501,0.00004199126,0.0001094043,0.0001657527,0.9085985,0.02066164,0.02576201,0.001168493,0.04279714],"study_design_scores_gemma":[0.00002745788,0.0002365308,0.00009738655,0.000008877752,0.00001175308,0.00002233909,0.00002401494,0.9888812,0.003281607,0.006160263,0.001237828,0.00001066223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02057595,0.0001611942,0.9724662,0.0001613873,0.00006941184,0.00004894569,0.00003027541,0.0005169942,0.005969736],"genre_scores_gemma":[0.9706472,0.0001178341,0.0258543,0.00009049254,0.00004146106,0.00009010897,0.00004887706,0.00004116454,0.003068571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003200988,"threshold_uncertainty_score":0.008544087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3488960557906756,"score_gpt":0.3951630225952795,"score_spread":0.04626696680460385,"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."}}