{"id":"W2762915977","doi":"10.1145/3132747.3132768","title":"Pensieve","year":2017,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; NetApp","keywords":"Computer science; Process (computing); Service (business); Software engineering; Operating system","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":[0.0001519036,0.00003498154,0.0000503042,0.000009643815,0.0002783571,0.0002105605,0.000907647,0.00002118447,0.00002178551],"category_scores_gemma":[0.00004461523,0.00002336869,0.00002516259,0.00001439342,0.00002881211,0.0005340049,0.0002272337,0.00002935215,0.0004976242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006600264,"about_ca_system_score_gemma":0.0000189142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006313085,"about_ca_topic_score_gemma":0.000007099266,"domain_scores_codex":[0.9996265,0.000005713751,0.00005939359,0.0001297638,0.00008485259,0.00009380002],"domain_scores_gemma":[0.9987063,0.0000117055,0.00003600705,0.001180604,0.00003346291,0.00003195158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004103189,0.00007400336,0.3985269,0.00004298945,0.00002007547,0.00002800176,0.0007448032,0.000008356793,0.00031265,0.2303296,0.02813784,0.3417706],"study_design_scores_gemma":[0.0003471599,0.00005249934,0.9280404,0.00001535194,0.000001618615,0.00002896033,0.00001254863,0.01313369,0.004198866,0.009062219,0.04487009,0.0002365354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2322291,0.00003096736,0.4754284,0.005429386,0.002211085,0.0001537261,2.291874e-7,0.0005307393,0.2839863],"genre_scores_gemma":[0.9866425,0.000002150554,0.0110673,0.000144424,0.0000429309,0.000002148087,4.581429e-8,0.000001113091,0.002097326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7544135,"threshold_uncertainty_score":0.6396118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179864294680257,"score_gpt":0.2712332145326458,"score_spread":0.2532467850646201,"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."}}