{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605396,0.00007244905,0.00008566788,0.00003374275,0.00005304367,0.0004233234,0.0002709015,0.00003271629,0.00004961855],"category_scores_gemma":[0.0000121502,0.00005998021,0.00004449105,0.0002550567,0.00001272435,0.0001959819,0.00005509076,0.00007106816,0.000507679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002384858,"about_ca_system_score_gemma":0.00005734328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000046948,"about_ca_topic_score_gemma":0.000009491816,"domain_scores_codex":[0.9992766,0.00001806249,0.0001425401,0.0002626642,0.0001165688,0.0001835506],"domain_scores_gemma":[0.9995737,0.00007605756,0.00001387326,0.0002579132,0.00002239233,0.00005604119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001910729,0.00002401703,0.0005118133,0.0001225599,0.00004974773,0.0006317118,0.00069384,0.0002527751,0.00112163,0.4844078,0.2207984,0.2913838],"study_design_scores_gemma":[0.000124105,0.00003007763,0.0001590243,0.0001378531,0.00000241135,0.0002120296,0.000044506,0.4567724,0.0007540158,0.002423767,0.5391163,0.000223518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009222588,0.0004885563,0.7331371,0.001222987,0.002385759,0.0000874954,0.000007283547,0.0008905085,0.2525577],"genre_scores_gemma":[0.9718711,0.000005274059,0.01624732,0.0002509562,0.00006264585,0.000006704677,0.000001203661,0.000005728817,0.01154909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9626485,"threshold_uncertainty_score":0.6525356,"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."}}