{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333722,0.0004786763,0.000375909,0.0008642565,0.001211721,0.001569045,0.001245407,0.0005411304,0.002793787],"category_scores_gemma":[0.004830242,0.0002997686,0.0004933383,0.00141592,0.0008394595,0.003636358,0.001427357,0.0007488596,0.0003878958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328328,"about_ca_system_score_gemma":0.001142015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003009157,"about_ca_topic_score_gemma":0.003463972,"domain_scores_codex":[0.9984003,0.000422968,0.00007030091,0.0002799954,0.0005447704,0.0002817104],"domain_scores_gemma":[0.9951905,0.001790344,0.0004135636,0.001642406,0.0008033555,0.0001597638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005346878,0.000252206,0.01950326,0.001421683,0.0002186588,0.00114045,0.002639694,0.2696861,0.02712139,0.169893,0.0184471,0.4891419],"study_design_scores_gemma":[0.00007464732,0.0008077286,0.01356769,0.0005231427,0.0002939982,0.003879714,0.002731919,0.4757846,0.05248067,0.0961562,0.3535797,0.000119954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3723637,0.008171006,0.5546628,0.001234132,0.0003484504,0.000573404,0.0008859466,0.0018181,0.05994238],"genre_scores_gemma":[0.9024134,0.003126301,0.08501928,0.000293082,0.00008601965,0.0002137539,0.0009347123,0.0002663833,0.007647008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003009157,"threshold_uncertainty_score":0.009637773,"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."}}