{"id":"W7037580033","doi":"","title":"An efficient consistency protocol for a DSD-based persistent object system","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consistency model; Cache coherence; Distributed shared memory; Consistency (knowledge bases); Protocol (science); General Inter-ORB Protocol; Transaction processing; Object (grammar); Nested transaction; Concurrency control; Shared memory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004610082,0.000530093,0.0007915832,0.001116698,0.001441386,0.00355611,0.002375293,0.001319147,0.002358351],"category_scores_gemma":[0.009944913,0.0008042453,0.0005361077,0.001205468,0.001269627,0.005045129,0.004791303,0.002312588,0.0009131617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162759,"about_ca_system_score_gemma":0.002601646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272071,"about_ca_topic_score_gemma":0.001077221,"domain_scores_codex":[0.9949471,0.001042881,0.0009357966,0.0004660299,0.002309826,0.0002982927],"domain_scores_gemma":[0.9943053,0.001424172,0.0003959613,0.00181012,0.001855178,0.0002092351],"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":[0.0008342987,0.0003645014,0.003025957,0.001047822,0.0001954726,0.001345983,0.001997165,0.09430726,0.08034192,0.4891214,0.01922921,0.308189],"study_design_scores_gemma":[0.0005403834,0.000647975,0.0006636077,0.0001714317,0.0001831503,0.001037177,0.000448772,0.712294,0.07380686,0.0791137,0.1308622,0.0002307381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0133898,0.0004324061,0.9798878,0.0003752502,0.0002309104,0.0006042068,0.0001503355,0.001451229,0.003478016],"genre_scores_gemma":[0.3549288,0.0008647335,0.6298158,0.000384634,0.0001994743,0.002057403,0.001020451,0.0003823059,0.01034642],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004610082,"threshold_uncertainty_score":0.02438068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007782556641236013,"score_gpt":0.1633591714947922,"score_spread":0.1555766148535562,"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."}}