{"id":"W2160927132","doi":"10.1109/hicss.1995.375493","title":"Data consistency in a distributed persistent object system","year":2002,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Family Physicians of Canada","keywords":"Computer science; Concurrency; Consistency (knowledge bases); Programming language; Object (grammar); Code (set theory); Relation (database); Data type; Data consistency; Concurrency control; Object-oriented programming; Theoretical computer science; Distributed computing; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006979876,0.0002784259,0.0008278295,0.0009340455,0.00238073,0.005856095,0.002584961,0.001748467,0.001868651],"category_scores_gemma":[0.01890988,0.0009225001,0.0005169102,0.001655093,0.003071227,0.007310099,0.00563914,0.00252674,0.0007683185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163275,"about_ca_system_score_gemma":0.003040151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003294665,"about_ca_topic_score_gemma":0.00154119,"domain_scores_codex":[0.9934031,0.001653353,0.0008008279,0.0008563485,0.002839432,0.0004469408],"domain_scores_gemma":[0.9870991,0.004371587,0.0009534041,0.004625535,0.002490549,0.0004599382],"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":[0.0007367988,0.0002744776,0.007832083,0.0004608347,0.0001040089,0.001627232,0.003820177,0.06045989,0.01388556,0.7505851,0.01108062,0.1491332],"study_design_scores_gemma":[0.0005888052,0.0003059867,0.001183324,0.000127169,0.0002301533,0.001181918,0.0007302482,0.3214808,0.02597999,0.5579853,0.09008365,0.0001225322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05407561,0.0007117264,0.9323036,0.001573085,0.0001733617,0.0001598123,0.0001451269,0.003328588,0.007529053],"genre_scores_gemma":[0.6203569,0.0009356274,0.3622894,0.0007208653,0.0003284452,0.0005314813,0.0005512416,0.0008325516,0.01345353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006979876,"threshold_uncertainty_score":0.03691357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05439194049036675,"score_gpt":0.2453413520676749,"score_spread":0.1909494115773082,"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."}}