{"id":"W2766916843","doi":"10.1145/3110214","title":"Blazes","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Debugging; Consistency (knowledge bases); Scalability; Distributed computing; Programming language; Database; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000344005,0.0001801174,0.0002295065,0.00008164046,0.001027365,0.0009159747,0.003049734,0.00006728541,0.00001710329],"category_scores_gemma":[0.00005870729,0.0001596472,0.00009152583,0.000108093,0.00006226372,0.001177188,0.00004545047,0.000187436,0.0005120052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003888809,"about_ca_system_score_gemma":0.00004956889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007692372,"about_ca_topic_score_gemma":0.00005450941,"domain_scores_codex":[0.9984897,0.00006487535,0.0002932953,0.0004945883,0.0003541876,0.0003033427],"domain_scores_gemma":[0.9941479,0.00007443516,0.0001834387,0.005371301,0.0000735334,0.0001493977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001476657,0.002373741,0.001240975,0.001176487,0.0009199376,0.000967527,0.001696343,0.01034099,0.01064476,0.3487652,0.06897842,0.552748],"study_design_scores_gemma":[0.002814064,0.0002890659,0.002876331,0.001193675,0.00005860898,0.0003626321,0.0003091431,0.1048558,0.005530099,0.0005801246,0.8795756,0.001554863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001134541,0.0001610415,0.9904814,0.0008971845,0.002815214,0.0002774923,0.000586703,0.0002389956,0.003407433],"genre_scores_gemma":[0.9933432,0.00003498705,0.004463505,0.00006468382,0.000119437,0.00009498274,0.00002196831,0.00001276154,0.001844488],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9922087,"threshold_uncertainty_score":0.8832765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784811562260383,"score_gpt":0.288350591027029,"score_spread":0.2505024754044252,"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."}}