{"id":"W3208121459","doi":"10.1007/s00446-021-00405-7","title":"On atomic registers and randomized consensus in M&amp;M systems","year":2021,"lang":"en","type":"article","venue":"Distributed Computing","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Remote direct memory access; Theory of computation; Randomized algorithm; Atomicity; Message passing; Process (computing); Theoretical computer science; Distributed computing; Algorithm; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001039292,0.0002512111,0.0007678253,0.00009786378,0.0001488812,0.0004677169,0.0004105429,0.000113638,0.000001882609],"category_scores_gemma":[0.0004182931,0.0002406087,0.0001136815,0.0006986209,0.0001002108,0.00008025909,0.0001835458,0.0002629629,0.00002253112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148693,"about_ca_system_score_gemma":0.0001045945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001540927,"about_ca_topic_score_gemma":0.00001757069,"domain_scores_codex":[0.9972709,0.0005536141,0.0007088853,0.0006953317,0.0002973017,0.0004739468],"domain_scores_gemma":[0.9977354,0.001018246,0.0002605335,0.0006849466,0.0001599992,0.0001408475],"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":[0.001874284,0.0003543859,0.003651975,0.0003513465,0.0002138416,0.001384867,0.001299447,0.04206176,0.0008194871,0.9309898,0.008308006,0.008690803],"study_design_scores_gemma":[0.04680243,0.00002486814,0.001232919,0.0008087719,0.00001520605,0.0003866161,0.0002127793,0.9416395,0.0001400585,0.00217119,0.005992967,0.0005726708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3913204,0.001273303,0.6042603,0.0008711139,0.0008015723,0.0003457035,0.00007760785,0.0001918412,0.0008580949],"genre_scores_gemma":[0.9979914,0.00001765807,0.001584612,0.0001696912,0.00004675695,0.00001309784,0.0001114957,0.00001118714,0.00005404296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9288186,"threshold_uncertainty_score":0.9811737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617471040368907,"score_gpt":0.252337660840539,"score_spread":0.23616295043685,"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."}}