{"id":"W3108221206","doi":"10.1051/mmnp/2020045","title":"COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability","year":2020,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Labex Bézout; Agence Nationale de la Recherche","keywords":"Pandemic; Social distance; Outbreak; Coronavirus disease 2019 (COVID-19); Intervention (counseling); Sustainability; Control (management); Intensive care unit; Computer science; Virology; Medicine; Biology; Intensive care medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03871065,0.001013831,0.001912899,0.001262352,0.001423285,0.007294545,0.002484811,0.004019986,0.02728495],"category_scores_gemma":[0.1398722,0.0004751056,0.000919346,0.001304164,0.003047516,0.006167627,0.005670817,0.004078949,0.00114685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008146415,"about_ca_system_score_gemma":0.01565179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01357942,"about_ca_topic_score_gemma":0.008814995,"domain_scores_codex":[0.9731264,0.02098277,0.0004540849,0.001185307,0.001521634,0.002729899],"domain_scores_gemma":[0.918366,0.06696799,0.005004612,0.001770774,0.004744159,0.003146569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003410439,0.0009273413,0.0222272,0.002465966,0.0006085232,0.000204079,0.001134455,0.05692366,0.001176365,0.7022206,0.04345869,0.1652427],"study_design_scores_gemma":[0.0008436608,0.002023895,0.02315321,0.002454764,0.0005068633,0.0001554433,0.007657639,0.1070483,0.002082161,0.8224087,0.03155781,0.0001073573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2454805,0.01557377,0.1697944,0.404388,0.004605652,0.002153976,0.004566321,0.0006043595,0.1528329],"genre_scores_gemma":[0.9716059,0.002222963,0.01178688,0.007397821,0.001267518,0.0007713368,0.0003430741,0.00008488262,0.004519692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03871065,"threshold_uncertainty_score":0.2047239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08514297509630456,"score_gpt":0.3602783843054817,"score_spread":0.2751354092091771,"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."}}