{"id":"W4381849393","doi":"10.1002/oca.3029","title":"On the optimal control of kinetic epidemic models with uncertain social features","year":2023,"lang":"en","type":"article","venue":"Optimal Control Applications and Methods","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gruppo Nazionale per la Fisica Matematica; Banff International Research Station for Mathematical Innovation and Discovery; Istituto Nazionale di Alta Matematica \"Francesco Severi\"","keywords":"Computer science; Limit (mathematics); Econometrics; Social contact; Mathematical optimization; Mathematics; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003624884,0.00184068,0.002136437,0.001449385,0.0004597818,0.00213097,0.001656345,0.002060663,0.001508023],"category_scores_gemma":[0.01023802,0.0008709863,0.001407143,0.0006709861,0.00262479,0.001279877,0.002426037,0.001552865,0.0001545286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676569,"about_ca_system_score_gemma":0.001307896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007786945,"about_ca_topic_score_gemma":0.002180511,"domain_scores_codex":[0.9987233,0.0006458584,0.00006427777,0.0002183427,0.0001750555,0.0001730926],"domain_scores_gemma":[0.993811,0.004383107,0.00096464,0.0001687127,0.0004853263,0.0001872995],"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":[0.00003285473,0.00001860104,0.0001879303,0.00006242049,0.00003983669,0.00004821656,0.00003858226,0.9725071,0.0006242418,0.02470012,0.0001392112,0.001600907],"study_design_scores_gemma":[0.000005412041,0.00001685586,0.00004799444,0.000007139494,0.000007540859,0.000003830801,0.000007283725,0.9958889,0.00008232078,0.00384908,0.00007821757,0.00000543568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05497383,0.0006195914,0.9384187,0.0006924238,0.00008168625,0.00006953446,0.0001336874,0.00009051558,0.004919948],"genre_scores_gemma":[0.9754307,0.0005841124,0.01934026,0.0001270034,0.00006101563,0.0001715016,0.0001069814,0.00004029715,0.004138207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007786945,"threshold_uncertainty_score":0.01917046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1759531673445459,"score_gpt":0.4637843960272255,"score_spread":0.2878312286826796,"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."}}