{"id":"W4313408232","doi":"10.1145/3576192","title":"Partial Network Partitioning","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Computer Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); Research Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Computer science; Partition (number theory); Distributed computing; Network packet; Fault tolerance; Network partition; Computer network; Overlay network; Operating system; The Internet","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":[],"consensus_categories":[],"category_scores_codex":[0.000498639,0.0001959042,0.0002734809,0.00009179176,0.00123562,0.0003748587,0.001462023,0.00004591428,0.00005242485],"category_scores_gemma":[0.000002368651,0.0002074918,0.0001460948,0.0007281661,0.0000217116,0.000334771,0.00007790493,0.0003519213,0.0001090929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236799,"about_ca_system_score_gemma":0.00006173299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009942775,"about_ca_topic_score_gemma":0.000004751311,"domain_scores_codex":[0.9976563,0.0003383973,0.0004515103,0.0005491178,0.000537937,0.0004666723],"domain_scores_gemma":[0.9982873,0.0001348412,0.0001407233,0.001245945,0.00005967277,0.0001314884],"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":[0.000009579667,0.0001392989,0.00006456445,0.00001604124,0.00005684568,0.000038812,0.0002878167,0.9471589,0.00000761501,0.01589181,0.01474912,0.02157959],"study_design_scores_gemma":[0.0004962384,0.0002887349,0.0001741382,0.00004818564,0.00000945004,0.0001990633,0.00004935791,0.6675459,0.00002517259,0.0002757009,0.3305589,0.0003291859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007767909,0.0001958001,0.9846855,0.0006270132,0.01253972,0.0003170333,0.00003852053,0.0004696273,0.0003499806],"genre_scores_gemma":[0.9854962,0.0000037745,0.01224676,0.0004270646,0.0009135474,0.0004526002,0.00001337301,0.00001839015,0.00042835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9847193,"threshold_uncertainty_score":0.9503511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928882032283902,"score_gpt":0.2281816390008174,"score_spread":0.2088928186779784,"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."}}