{"id":"W1596940311","doi":"10.1109/hicss.1990.205207","title":"An optimistic algorithm for consistent replicated shared data","year":2002,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; 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":[0.002804217,0.001048055,0.001164981,0.00158196,0.001941098,0.003905686,0.003486219,0.00126771,0.008859254],"category_scores_gemma":[0.007333247,0.001031675,0.0008428689,0.001837479,0.001123258,0.004297412,0.004411893,0.002218127,0.00376643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696577,"about_ca_system_score_gemma":0.003474072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198243,"about_ca_topic_score_gemma":0.002897978,"domain_scores_codex":[0.9969783,0.0007032525,0.0002821872,0.0003033424,0.001433191,0.000299825],"domain_scores_gemma":[0.9973372,0.0006978113,0.0001886713,0.0008045189,0.0008119477,0.0001599282],"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":[0.000806102,0.0001345941,0.0008321164,0.0003813352,0.0001902705,0.0003522768,0.0004866239,0.1260298,0.005670067,0.4104736,0.04110831,0.4135349],"study_design_scores_gemma":[0.000344355,0.0001451443,0.0001460191,0.0001043229,0.0001131853,0.0003772497,0.0001849493,0.6226525,0.01164529,0.2511333,0.1130346,0.0001192691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002047582,0.0005252426,0.9889737,0.0003818905,0.0001935098,0.0002358987,0.0001247294,0.002147665,0.005369746],"genre_scores_gemma":[0.07153697,0.0005799971,0.9151587,0.0002691761,0.0001469031,0.0005379673,0.0006013169,0.0005503707,0.0106185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008859254,"threshold_uncertainty_score":0.02963716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025601907790198,"score_gpt":0.3044313475913842,"score_spread":0.2018711568123644,"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."}}