{"id":"W3017153815","doi":"10.1109/hpca47549.2020.00044","title":"DRAIN: Deadlock Removal for Arbitrary Irregular Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deadlock; Correctness; Computer science; Deadlock prevention algorithms; Distributed computing; Network packet; Computer network; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054949,0.0005367502,0.0004976459,0.0007142802,0.0006874605,0.000957464,0.001524496,0.0004697939,0.002645379],"category_scores_gemma":[0.003189199,0.0002526669,0.0004411658,0.0003400299,0.001028416,0.001824463,0.001996547,0.0007022641,0.0004440319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006100662,"about_ca_system_score_gemma":0.00121816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008936389,"about_ca_topic_score_gemma":0.001607443,"domain_scores_codex":[0.9994505,0.0001284529,0.000044074,0.00006975385,0.0002058732,0.0001012824],"domain_scores_gemma":[0.9983318,0.0006682734,0.0001203965,0.0005402651,0.0002237288,0.0001154483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00167657,0.000441492,0.007686042,0.001788178,0.0002066987,0.0005098512,0.0007367578,0.1841365,0.1275394,0.06551602,0.02929352,0.5804691],"study_design_scores_gemma":[0.0004820114,0.0007766542,0.001515984,0.000162467,0.000172697,0.0008254388,0.0002915754,0.7189952,0.1714749,0.04848512,0.05670851,0.0001093904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1387012,0.001974079,0.82601,0.0005415052,0.0004001809,0.0003488453,0.0004371355,0.01883546,0.01275159],"genre_scores_gemma":[0.7730137,0.0006701481,0.2155077,0.000441469,0.00006805731,0.0003186667,0.0007173319,0.001220276,0.008042624],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002645379,"threshold_uncertainty_score":0.00884968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663691732179952,"score_gpt":0.2230676276786275,"score_spread":0.196430710356828,"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."}}