{"id":"W2948211145","doi":"10.1109/cybermatics_2018.2018.00312","title":"Topological Response to Deadlock Detection and Resolution in Real-Time Database Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Timeout; Computer science; Deadlock prevention algorithms; Distributed computing; Workload; Overhead (engineering); Concurrency control; Deadlock; Key (lock); Node (physics); Computer network; Real-time computing; Topology (electrical circuits); Database; Computer security; Database transaction; Operating system","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":[0.005374293,0.000395933,0.000539886,0.0007437667,0.0007270881,0.00128844,0.001513019,0.0008429615,0.001293322],"category_scores_gemma":[0.02063306,0.0003640684,0.0002993029,0.0004934105,0.001431193,0.002019521,0.001654016,0.0007212521,0.0001460778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007380997,"about_ca_system_score_gemma":0.0008299288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005511257,"about_ca_topic_score_gemma":0.0006316777,"domain_scores_codex":[0.9965169,0.001942489,0.0002531518,0.0002157291,0.0007702692,0.0003014597],"domain_scores_gemma":[0.9859735,0.009176143,0.001384348,0.001747749,0.001171405,0.00054694],"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":[0.001472742,0.0003184791,0.01090575,0.0005405446,0.000148598,0.0008310525,0.001518051,0.8055403,0.0719671,0.04853127,0.001465754,0.05676036],"study_design_scores_gemma":[0.00008420565,0.0004318028,0.001520277,0.00001624699,0.00004480393,0.0002732486,0.0003543221,0.9554691,0.0264521,0.01401338,0.001305409,0.00003509006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6111094,0.0006014821,0.3822829,0.0004955294,0.0001004289,0.0001263076,0.00008152675,0.002187859,0.003014448],"genre_scores_gemma":[0.9821572,0.00006614511,0.01728515,0.00003096037,0.000006546181,0.00004063339,0.00004096169,0.00003703843,0.0003352722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005374293,"threshold_uncertainty_score":0.02842236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300188469663112,"score_gpt":0.2673072234082653,"score_spread":0.2443053387116342,"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."}}