{"id":"W2739388583","doi":"10.1145/3102980.3102994","title":"Consistency Oracles","year":2017,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Consistency (knowledge bases); Consistency model; Computer science; Weak consistency; Eventual consistency; Oracle; Data consistency; Strong consistency; Causal consistency; Sequential consistency; Distributed computing; Software; Partition (number theory); Programming language; Theoretical computer science; Mathematics; Artificial intelligence","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":[0.01880706,0.002233513,0.002413077,0.00300006,0.002351778,0.009669755,0.00669797,0.004402784,0.01221326],"category_scores_gemma":[0.06420411,0.001925247,0.003255762,0.0028838,0.00604776,0.0183416,0.00834202,0.007182681,0.00470054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002220918,"about_ca_system_score_gemma":0.004467097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003242023,"about_ca_topic_score_gemma":0.002107358,"domain_scores_codex":[0.971516,0.008685015,0.005441543,0.003275508,0.008693592,0.002388488],"domain_scores_gemma":[0.9510994,0.01934468,0.003193817,0.01655992,0.008445339,0.001356918],"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":[0.0002539776,0.000122885,0.002063436,0.0005208713,0.0000812297,0.0003937335,0.0008268186,0.009367657,0.003062148,0.9201645,0.01150724,0.0516356],"study_design_scores_gemma":[0.000209871,0.0001952839,0.0004043206,0.0004794903,0.0002080796,0.0008511262,0.0004774458,0.06856926,0.01650676,0.7174051,0.1945207,0.0001726792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005855341,0.0008610136,0.96527,0.001180828,0.000528632,0.0006184111,0.001333943,0.009461978,0.01488983],"genre_scores_gemma":[0.2275899,0.001901284,0.7436537,0.002108997,0.0007836399,0.001386499,0.004435025,0.004078312,0.01406267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01880706,"threshold_uncertainty_score":0.09946239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468338958892036,"score_gpt":0.2751312502238158,"score_spread":0.2504478606348954,"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."}}