{"id":"W3086099593","doi":"10.14778/3407790.3407856","title":"Sentinel","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Debugging; Computer science; Variety (cybernetics); Server; Distributed computing; Web application; Operating system; Database; Embedded system; Artificial intelligence","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":[0.002975127,0.0009755364,0.0006672891,0.00195089,0.0007993432,0.002921666,0.001992661,0.0008169046,0.02308565],"category_scores_gemma":[0.008129241,0.0007705248,0.0008406607,0.001268782,0.0007561168,0.005219299,0.002028439,0.00135886,0.0125338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112379,"about_ca_system_score_gemma":0.002574305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003380903,"about_ca_topic_score_gemma":0.005990915,"domain_scores_codex":[0.9971003,0.0004618514,0.0002245884,0.0005452937,0.001439688,0.0002283495],"domain_scores_gemma":[0.9943053,0.0018798,0.0005490454,0.001531331,0.001481275,0.0002531909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000807112,0.0002036432,0.01462433,0.001458072,0.0001579578,0.0005807998,0.001346287,0.02418776,0.02169165,0.1090045,0.26633,0.5596079],"study_design_scores_gemma":[0.0001391996,0.0005208523,0.006235356,0.0003460423,0.0001240255,0.001253084,0.0005161784,0.1878433,0.02216099,0.05111838,0.7295914,0.0001512357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03497826,0.00150981,0.6001073,0.001759026,0.0007712891,0.0005772234,0.01107911,0.2565665,0.09265149],"genre_scores_gemma":[0.2884821,0.002131729,0.5686124,0.001877088,0.0003257262,0.000692555,0.03616562,0.02429542,0.07741738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02308565,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366508124302437,"score_gpt":0.2022727780473852,"score_spread":0.1886076968043608,"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."}}