{"id":"W4231848803","doi":"10.1109/dpds.1990.113706","title":"Voting class-an approach to achieving high availability for replicated data","year":2002,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Voting; Class (philosophy); Replica; Computer science; Scheme (mathematics); Theoretical computer science; Weighted voting; Simple (philosophy); Data mining; Computer security; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007097991,0.0001307483,0.0001621101,0.00004770011,0.0002377987,0.0002853785,0.002944224,0.00005491214,0.00003834949],"category_scores_gemma":[0.0001881731,0.0001036763,0.00002561477,0.0002930301,0.00001791456,0.001421355,0.002019551,0.00009978648,0.00006326955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002528746,"about_ca_system_score_gemma":0.00001145229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001075414,"about_ca_topic_score_gemma":0.000005355936,"domain_scores_codex":[0.9980179,0.00005265542,0.0002706395,0.001140688,0.0002087394,0.0003093825],"domain_scores_gemma":[0.9961658,0.0001069186,0.00006603956,0.003407371,0.0000749263,0.000178918],"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":[0.00001837727,0.001219054,0.001174714,0.00007841792,0.00002956952,0.000002025242,0.0005283646,0.0005899536,0.002067864,0.1284099,0.1464714,0.7194104],"study_design_scores_gemma":[0.0001615923,0.0000531418,0.001144401,0.000006395564,0.00000325875,0.000003966967,0.00001105148,0.9722728,0.0002001362,0.0001490026,0.02582903,0.0001652198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003552204,0.00002255233,0.9911839,0.0009071293,0.0001300084,0.0003979745,0.00004423876,0.0003586791,0.003403317],"genre_scores_gemma":[0.2446279,0.000001171624,0.7539924,0.0005386869,0.0001150262,0.00002746671,0.0001342864,0.000009903229,0.0005531503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9716828,"threshold_uncertainty_score":0.547115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279055869874493,"score_gpt":0.2996596220125511,"score_spread":0.1717540350251018,"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."}}