{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007505316,0.0003555987,0.0003228939,0.00009486225,0.0005680674,0.0001594496,0.000479037,0.000547352,0.0001313124],"category_scores_gemma":[0.000175554,0.000363051,0.0002343095,0.0002182074,0.0003881609,0.0001813039,0.000437613,0.0005651389,0.005776918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005191667,"about_ca_system_score_gemma":0.000288351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000205496,"about_ca_topic_score_gemma":0.0002366907,"domain_scores_codex":[0.9978127,0.00009402823,0.0005785953,0.0004270094,0.0002754228,0.0008122135],"domain_scores_gemma":[0.9980403,0.0004690572,0.0003784265,0.0008716066,0.00007571363,0.0001649339],"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":[0.0002622209,0.0003246088,0.0000100417,0.0001702812,0.0005425974,0.0000380853,0.001442211,0.0002630158,0.002591066,0.9900863,0.003032184,0.001237416],"study_design_scores_gemma":[0.02458575,0.00503374,0.001252651,0.001794771,0.003480161,0.001511213,0.02597458,0.6678498,0.08847093,0.1014306,0.07395233,0.004663445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813088,0.0006166789,0.004129187,0.0001990161,0.0003595478,0.0001963241,0.0001367013,0.0001485132,0.01290528],"genre_scores_gemma":[0.9930465,0.0001572716,0.003851377,0.000277561,0.0001634603,0.0003780225,0.001482417,0.000101273,0.0005421849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8886557,"threshold_uncertainty_score":0.9998822,"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."}}