{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008004885,0.00006519932,0.00009187777,0.00001101059,0.00004215033,0.00005388217,0.0005502656,0.00003970131,0.0001325497],"category_scores_gemma":[0.00001583471,0.00004509902,0.00004319181,0.0001975403,0.00001491892,0.000285079,0.0001686869,0.00006672668,0.00117734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009861588,"about_ca_system_score_gemma":0.00003321128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001309024,"about_ca_topic_score_gemma":0.000005160147,"domain_scores_codex":[0.9993483,0.00001768179,0.0001218115,0.0002374805,0.0001365638,0.0001381963],"domain_scores_gemma":[0.9995205,0.00002523422,0.0000213791,0.000299995,0.00003181943,0.0001011023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002580333,0.000256932,0.1263865,0.001204579,0.00007502122,0.00007974426,0.01309576,0.0004489127,0.001170312,0.09890798,0.3877596,0.3705888],"study_design_scores_gemma":[0.0009543038,0.0005907045,0.009602697,0.0001126259,0.000007326691,0.00003325113,0.0002531717,0.2118731,0.003504357,0.003538629,0.7687671,0.0007627196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01759477,0.001093484,0.8848875,0.06448343,0.0006546896,0.0002183065,8.096353e-7,0.001314649,0.02975243],"genre_scores_gemma":[0.9775273,0.0001072764,0.01913045,0.002393672,0.0001535645,0.000006027115,2.968381e-7,0.000004445791,0.0006769936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9599325,"threshold_uncertainty_score":0.9996004,"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."}}