{"id":"W2147753601","doi":"10.82308/22547","title":"Objective quantification of program behaviour using dynamic metrics","year":2004,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Software Engineering Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Faculty of Graduate Studies and Research, University of Alberta; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Computer science; Concurrency; Metric (unit); Profiling (computer programming); Java; Data mining; Suite; TRACE (psycholinguistics); Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001120856,0.0003050233,0.0003408837,0.0008043655,0.0004022658,0.0001195707,0.001372876,0.0002167143,0.00000620163],"category_scores_gemma":[0.002040899,0.0003333955,0.0001722062,0.003197957,0.00009163788,0.001205221,0.000453631,0.0006736208,0.00005315838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224489,"about_ca_system_score_gemma":0.0001020736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003737011,"about_ca_topic_score_gemma":0.0000437536,"domain_scores_codex":[0.9968646,0.0001493784,0.0005398735,0.0008108609,0.0009963599,0.000638894],"domain_scores_gemma":[0.9974011,0.0004120512,0.0002380259,0.001118704,0.0005936375,0.0002365469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000380558,0.001746712,0.003945676,0.0002351869,0.0001920146,0.0001313925,0.00003995379,0.02180339,0.2052631,0.2632189,4.179745e-7,0.5033852],"study_design_scores_gemma":[0.00332544,0.001376403,0.1173584,0.0005059883,0.0001520959,0.0002852741,0.000119251,0.03872599,0.789974,0.04477669,0.001143567,0.002256924],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990869,0.0001183533,0.006692728,0.00001709121,0.0004618882,0.0007112932,0.0000741995,0.0007585445,0.0002968462],"genre_scores_gemma":[0.8843355,0.00001640504,0.1154748,0.00001387463,0.000007138934,0.00005804696,0.000009383795,0.00005095373,0.00003390294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5847109,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554985863856908,"score_gpt":0.3002275510045447,"score_spread":0.2646776923659756,"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."}}