{"id":"W1991407706","doi":"10.1145/544862.544917","title":"Improving fault-tolerance by replicating agents","year":2002,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Distributed computing; Computer science; Redundancy (engineering); Replication (statistics); Fault tolerance; Consistency (knowledge bases); Synchronization (alternating current); Key (lock); Computer network; Computer security; Artificial intelligence","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":[0.00149145,0.0005983593,0.0005627496,0.0005857702,0.0005384499,0.001326483,0.001448942,0.0008980994,0.0016392],"category_scores_gemma":[0.005834109,0.0003210424,0.0004364917,0.0005385656,0.0006947129,0.002019575,0.001396082,0.0009612569,0.0007474537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888278,"about_ca_system_score_gemma":0.0005500807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009346125,"about_ca_topic_score_gemma":0.0007238293,"domain_scores_codex":[0.9985127,0.0005006866,0.000135723,0.0001898624,0.0005013475,0.0001597476],"domain_scores_gemma":[0.9956899,0.001217377,0.0005884609,0.001738132,0.0006183501,0.0001476164],"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":[0.0003752089,0.0002871066,0.00461173,0.0003872524,0.0001118942,0.0005313214,0.0008838756,0.3311402,0.1632208,0.04115138,0.004031045,0.4532681],"study_design_scores_gemma":[0.0001231284,0.0005698957,0.001437225,0.00006965391,0.0001398961,0.0008157292,0.0002322627,0.8122923,0.1063809,0.03517842,0.04268274,0.0000779297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1061052,0.001269417,0.8837557,0.0005174432,0.0001636456,0.0001419751,0.00002344823,0.002838549,0.005184559],"genre_scores_gemma":[0.6502836,0.0009381132,0.3440086,0.0001450567,0.00009759854,0.00009724372,0.00006916392,0.0001986966,0.004161862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0016392,"threshold_uncertainty_score":0.007887661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836708407344712,"score_gpt":0.2308340455114102,"score_spread":0.2124669614379631,"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."}}