{"id":"W3159695152","doi":"10.1145/3448976","title":"A Survey of Software Log Instrumentation","year":2021,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Instrumentation (computer programming); Logging; Source code; Software; Database; Software engineering; Audit; Operating system; Accounting","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009325274,0.0004713529,0.002259506,0.0002378185,0.0001495422,0.0001446489,0.00280465,0.0003779239,0.00001066223],"category_scores_gemma":[0.003593322,0.0003978684,0.0004642042,0.001921217,0.00007968023,0.0002400783,0.001874203,0.0004320666,0.00006115716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437144,"about_ca_system_score_gemma":0.001014777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009608808,"about_ca_topic_score_gemma":0.00008124568,"domain_scores_codex":[0.9912244,0.005442357,0.001444156,0.0009227553,0.000536585,0.0004297443],"domain_scores_gemma":[0.9915823,0.004060063,0.001092918,0.002565489,0.0006018946,0.00009727424],"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":[1.874392e-7,0.00004641495,0.009887858,0.006083923,0.00009355997,0.000005499332,0.00008189862,0.0000124466,1.367235e-8,0.00001909692,0.000218331,0.9835508],"study_design_scores_gemma":[0.002115878,0.0007429877,0.3952933,0.1271874,0.0008020374,0.0005293843,0.00004989078,0.005117198,0.0000234984,0.0003979406,0.4610874,0.006653049],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001780889,0.8005222,0.1969777,0.000004470263,0.001653666,0.0003883716,0.00003917438,0.0002164151,0.0000198853],"genre_scores_gemma":[0.001315606,0.9701703,0.02773586,0.00001826769,0.0001047612,0.00001368892,0.0005569837,0.00004545382,0.00003904032],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9768977,"threshold_uncertainty_score":0.9998473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08397002981832441,"score_gpt":0.3521162088475894,"score_spread":0.268146179029265,"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."}}