{"id":"W1659542177","doi":"10.1016/j.dam.2015.07.020","title":"Network decontamination under <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si60.gif\" display=\"inline\" overflow=\"scroll\"><mml:mi>m</mml:mi></mml:math>-immunity","year":2015,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Vertex (graph theory); Human decontamination; Mathematics; Algorithm; Torus; Graph; Computer science; Discrete mathematics; Geometry","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":[0.001225221,0.0008685453,0.0005236364,0.001550358,0.001155098,0.002405406,0.001479412,0.0007297206,0.1572109],"category_scores_gemma":[0.005191658,0.0003466315,0.0005424682,0.001223799,0.0005408765,0.00224373,0.002269667,0.001559929,0.06015068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020346,"about_ca_system_score_gemma":0.002054441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004013456,"about_ca_topic_score_gemma":0.006440406,"domain_scores_codex":[0.9987525,0.0002211746,0.00008699342,0.0001572391,0.0005993234,0.0001827376],"domain_scores_gemma":[0.9971099,0.0003632154,0.0001889199,0.001075176,0.001030795,0.0002320491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004621322,0.0002041191,0.001816653,0.0005678402,0.00004367686,0.0003339701,0.000774295,0.002919758,0.02772904,0.05237866,0.5854876,0.3272823],"study_design_scores_gemma":[0.00003879982,0.00006671371,0.0008670175,0.000145355,0.00001830326,0.0002387126,0.0002055374,0.005136652,0.03622302,0.01000869,0.9470184,0.00003273656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03187894,0.001363326,0.3364475,0.009826159,0.005466398,0.001050901,0.02250894,0.1076487,0.4838091],"genre_scores_gemma":[0.222931,0.003254568,0.1762743,0.004201194,0.00102637,0.001160045,0.03456146,0.02900545,0.5275857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1572109,"threshold_uncertainty_score":0.5259228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415247930793589,"score_gpt":0.2610842967435603,"score_spread":0.2369318174356244,"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."}}