{"id":"W4210339679","doi":"10.1016/j.cie.2022.107970","title":"Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread","year":2022,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Hyperparameter; Artificial intelligence; Particle swarm optimization; Machine learning; Artificial neural network; Swarm behaviour; Deep learning; Evolutionary algorithm; Population; Premature convergence; Evolutionary computation; Mathematical optimization; Mathematics","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":[0.002164923,0.001302183,0.001137591,0.0007236004,0.0004521671,0.0009899923,0.001306824,0.002019234,0.002655054],"category_scores_gemma":[0.007337886,0.0006128627,0.0007200241,0.000639718,0.0007261646,0.001412011,0.0009044204,0.002902651,0.0006595483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634735,"about_ca_system_score_gemma":0.001262938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02417141,"about_ca_topic_score_gemma":0.02619335,"domain_scores_codex":[0.9995936,0.0001442315,0.00001951453,0.00009817339,0.00003245316,0.0001121355],"domain_scores_gemma":[0.9957458,0.003225415,0.0002749446,0.000114849,0.000434496,0.0002045951],"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":[0.0004865233,0.0004673029,0.01989155,0.0000490222,0.0001436063,0.00006968981,0.00005117029,0.9409091,0.0005237844,0.001359756,0.002829665,0.03321882],"study_design_scores_gemma":[0.00001030497,0.00002295101,0.0006835702,0.000005190666,0.000008800374,0.000002916861,0.000007913364,0.9985441,0.00008927922,0.0005888598,0.00003302327,0.000003154387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342404,0.001514634,0.05712341,0.00263883,0.00030111,0.00004971147,0.0008020064,0.000494163,0.002835753],"genre_scores_gemma":[0.9936523,0.0001321093,0.003577614,0.0001622719,0.00006083964,0.00002491787,0.0005737848,0.00001952215,0.001796517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02417141,"threshold_uncertainty_score":0.04806143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100662474376385,"score_gpt":0.336604519239173,"score_spread":0.2265382718015345,"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."}}