{"id":"W2400577739","doi":"10.1145/2901739.2901769","title":"Logging library migrations","year":2016,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Queen's University","funders":"","keywords":"Logging; Debugging; Leverage (statistics); Computer science; Software engineering; World Wide Web; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006250405,0.00003892425,0.00004267317,0.00003129925,0.00005468476,0.00004334078,0.0003029882,0.00002147481,0.0001154982],"category_scores_gemma":[0.00001062221,0.0000185628,0.00002692405,0.0001072084,0.00001657944,0.001136635,0.00009437309,0.00001596109,0.0004874577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006267337,"about_ca_system_score_gemma":0.00003208761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004056865,"about_ca_topic_score_gemma":9.899233e-7,"domain_scores_codex":[0.9995906,0.00001427751,0.00008838933,0.0001354971,0.00006915494,0.0001020667],"domain_scores_gemma":[0.9995366,0.00006658242,0.00001533503,0.0003354592,0.000009716158,0.00003631194],"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":[0.000002540988,0.00007066545,0.2874405,0.00003048029,0.00001488769,0.000006167405,0.0004679649,0.000006074647,0.002297747,0.1859508,0.1337506,0.3899615],"study_design_scores_gemma":[0.001104052,0.0001729258,0.1870182,0.000188898,0.000005386326,0.00006110981,0.00005662769,0.00945125,0.05662019,0.05115737,0.6933479,0.0008160218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02970239,0.00004738625,0.9436698,0.009506554,0.0003386589,0.00006115178,5.637246e-7,0.0007633902,0.0159101],"genre_scores_gemma":[0.9700106,0.00001208221,0.02338074,0.0003869684,0.00005321248,0.000006856388,1.920294e-7,0.00000246542,0.006146836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9403083,"threshold_uncertainty_score":0.6265445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008629201659741622,"score_gpt":0.2080793075484844,"score_spread":0.1994501058887428,"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."}}