{"id":"W3123326965","doi":"10.1145/3324884.3416636","title":"Where shall we log?","year":2020,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Logging; Computer science; Debugging; Block (permutation group theory); Overhead (engineering); Code (set theory); Well logging; Source code; Database; Programming language; Set (abstract data type); Petroleum engineering; Engineering","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":[0.003832265,0.0008182692,0.0004467793,0.001387225,0.00136457,0.003418795,0.001324188,0.001556348,0.01195383],"category_scores_gemma":[0.03384196,0.0005627392,0.0004711928,0.001179709,0.00170314,0.00996197,0.001590431,0.002628736,0.00969808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237517,"about_ca_system_score_gemma":0.002775019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008636389,"about_ca_topic_score_gemma":0.01219198,"domain_scores_codex":[0.9972,0.0008462362,0.0002057733,0.0006788949,0.0007592112,0.000309863],"domain_scores_gemma":[0.9861426,0.004080271,0.002246295,0.002687446,0.003823137,0.001020352],"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":[0.0004797495,0.0002520264,0.1110627,0.0006144217,0.00008474578,0.000959569,0.004839353,0.003800667,0.007330786,0.0253107,0.1760393,0.6692261],"study_design_scores_gemma":[0.00007219776,0.0003015188,0.05615664,0.001488452,0.0002118888,0.002382285,0.01016851,0.05369028,0.01738037,0.1042378,0.7534938,0.000416209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242649,0.008714166,0.4464105,0.1516129,0.002891696,0.0006534973,0.01105095,0.04779582,0.08822147],"genre_scores_gemma":[0.7812717,0.003966684,0.1410058,0.01037859,0.000535629,0.0002721798,0.00635342,0.004425236,0.05179068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01195383,"threshold_uncertainty_score":0.03998953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195774835246332,"score_gpt":0.232920424788669,"score_spread":0.2109626764362057,"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."}}