{"id":"W2972744182","doi":"10.23919/acc.2019.8815219","title":"A Mean-Field Team Approach to Minimize the Spread of Infection in a Network","year":2019,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematical optimization; Population; Computer science; Markov process; Markov chain; Stochastic process; Finite set; Convolution (computer science); Dynamic network analysis; Probability distribution; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002291569,0.0000835031,0.0001851968,0.000049975,0.0000202012,0.00001516346,0.0001220674,0.00002301701,0.0002489412],"category_scores_gemma":[0.000002547512,0.0000568776,0.00009994036,0.0004360265,0.000008140272,0.00003930075,0.00008491974,0.0001050574,0.00002139648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001056279,"about_ca_system_score_gemma":0.00001194198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003396578,"about_ca_topic_score_gemma":0.0001256832,"domain_scores_codex":[0.9993619,0.00004552667,0.0001971238,0.0001505196,0.00009076011,0.0001542024],"domain_scores_gemma":[0.9994762,0.000106232,0.00005966153,0.0003109362,0.00002460857,0.00002238102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002760444,0.000179163,0.887296,0.000006045652,0.0000652467,1.608522e-8,0.0003150808,0.007907978,0.0001057445,0.07439452,0.0186595,0.01104307],"study_design_scores_gemma":[0.002861695,0.0007464036,0.5507214,0.0003795161,0.0003189876,0.000002092086,0.002176998,0.2529191,0.01460211,0.0909946,0.0824615,0.001815542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3064997,0.0000117947,0.1878209,0.00007637573,0.0000390603,0.0004518879,5.553201e-7,0.00003586184,0.5050639],"genre_scores_gemma":[0.9921429,0.00000112047,0.006831417,0.0001041263,0.0001411311,0.00004991815,0.000003793143,0.000006837132,0.0007188023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6856432,"threshold_uncertainty_score":0.5134632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061162974622812,"score_gpt":0.247692684391083,"score_spread":0.2370810546448549,"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."}}