{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002994157,0.0001672563,0.0002880788,0.00008000003,0.00009776554,0.0002178603,0.002033672,0.00007143157,0.0000426195],"category_scores_gemma":[0.00004737066,0.0001422584,0.00007862036,0.0006949762,0.000036205,0.0006080834,0.0005105941,0.0001269408,0.0002909127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268996,"about_ca_system_score_gemma":0.00003004055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001818455,"about_ca_topic_score_gemma":0.00009838569,"domain_scores_codex":[0.9980704,0.00009126941,0.0004578533,0.0006679453,0.0003176347,0.0003948488],"domain_scores_gemma":[0.9976829,0.00005648645,0.00009098934,0.001980464,0.00006743203,0.0001217543],"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":[0.00002012192,0.001509897,0.01024063,0.0007834075,0.0002915146,0.00160301,0.002286399,0.001054171,0.0004176915,0.6877806,0.2464039,0.04760863],"study_design_scores_gemma":[0.0007158813,0.00004891672,0.001975485,0.0001503115,0.000007782263,0.0001783396,0.0006074773,0.9502691,0.00001343229,0.0000185156,0.0457017,0.0003130653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01181692,0.004900334,0.8118018,0.003791709,0.002047083,0.001187778,0.001828927,0.001582209,0.1610432],"genre_scores_gemma":[0.9968466,0.00001156385,0.002323702,0.00009219389,0.00003388053,0.00001691203,0.00008594203,0.000006123936,0.0005830986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9850296,"threshold_uncertainty_score":0.5801131,"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."}}