{"id":"W4399377352","doi":"10.1145/3662158.3662775","title":"Determining Recoverable Consensus Numbers","year":2024,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004830806,0.0008003344,0.001030346,0.003058332,0.001285854,0.002373386,0.003079229,0.001801515,0.006303211],"category_scores_gemma":[0.05597129,0.0007619496,0.001255551,0.001165266,0.003210334,0.00633796,0.003279577,0.002685848,0.001287138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0023465,"about_ca_system_score_gemma":0.001658474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009501907,"about_ca_topic_score_gemma":0.0008706466,"domain_scores_codex":[0.9935194,0.0008794738,0.0005241116,0.001672448,0.002457276,0.0009473343],"domain_scores_gemma":[0.9451938,0.03196732,0.005325816,0.007988237,0.007588328,0.0019364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007144467,0.0001894883,0.01048876,0.0006980962,0.0001618806,0.0006816878,0.001621509,0.3572395,0.0536925,0.4639197,0.006444229,0.1041482],"study_design_scores_gemma":[0.00007179687,0.0002342644,0.00185391,0.00009424946,0.0000569622,0.0003052023,0.0003443349,0.609087,0.03388136,0.3482272,0.005721575,0.0001222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2743997,0.0004154352,0.701977,0.0006680961,0.00009554326,0.0003309401,0.0009321912,0.001872336,0.01930869],"genre_scores_gemma":[0.8211885,0.0002623133,0.171555,0.0002123788,0.0000915803,0.0004587438,0.001226377,0.0004011235,0.004603905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006303211,"threshold_uncertainty_score":0.02554804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118357106107576,"score_gpt":0.2484293955871906,"score_spread":0.236593684976433,"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."}}