{"id":"W2963800009","doi":"10.1145/3293611.3331574","title":"The Recoverable Consensus Hierarchy","year":2019,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hierarchy; Computer science; Consensus; Set (abstract data type); Asynchronous communication; Theoretical computer science; Computability; Process (computing); Crash; Bounded function; Distributed computing; Multi-agent system; Mathematics; Artificial intelligence; Programming language; Computer network","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":[0.001650343,0.0003582254,0.0005308811,0.0008923792,0.001542618,0.001646598,0.00146529,0.001251939,0.003941273],"category_scores_gemma":[0.005833047,0.0003200831,0.0006567536,0.0006777546,0.002487488,0.003479444,0.002846142,0.002068435,0.0007242814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168872,"about_ca_system_score_gemma":0.002522246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057246,"about_ca_topic_score_gemma":0.003147647,"domain_scores_codex":[0.997444,0.0003996222,0.0001505893,0.0004360887,0.001183431,0.0003863293],"domain_scores_gemma":[0.9966928,0.0009623633,0.0003272885,0.0008483982,0.0008524762,0.0003165978],"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":[0.00003694011,0.00001863811,0.0002519699,0.00009374758,0.00001667833,0.0001057425,0.0004790517,0.01855664,0.002586419,0.9534431,0.0023605,0.02205057],"study_design_scores_gemma":[0.00005944272,0.00006086547,0.0003598973,0.00004058186,0.00002395083,0.0001115238,0.0001458662,0.1079372,0.00176962,0.8661462,0.02331647,0.00002842166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0955684,0.001598958,0.8245578,0.003056429,0.0001714401,0.0002602172,0.0005788635,0.001965972,0.07224193],"genre_scores_gemma":[0.8255262,0.001097503,0.1562132,0.0007157075,0.0002270252,0.0002622381,0.0005558787,0.0001565104,0.01524569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004057246,"threshold_uncertainty_score":0.0157364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005280946996092166,"score_gpt":0.2022921862060712,"score_spread":0.197011239209979,"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."}}