{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009356667,0.001422872,0.0006978256,0.004593297,0.0005833746,0.00269582,0.001211979,0.0006762813,0.001541757],"category_scores_gemma":[0.0469714,0.0004269107,0.000509745,0.003345324,0.001608145,0.003840606,0.001990102,0.001150294,0.0003655508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282064,"about_ca_system_score_gemma":0.001269303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044385,"about_ca_topic_score_gemma":0.001166055,"domain_scores_codex":[0.9868922,0.003801518,0.001026209,0.001684209,0.006192795,0.0004030486],"domain_scores_gemma":[0.9474581,0.02640701,0.009053892,0.008435983,0.008036777,0.000608258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008681173,0.001115381,0.1042528,0.002562722,0.0005589248,0.0002551513,0.002845529,0.2121767,0.1532167,0.07222611,0.003552818,0.4463691],"study_design_scores_gemma":[0.00009913664,0.004854593,0.1383007,0.0008747289,0.0003734907,0.0006441167,0.0028329,0.5064772,0.2367466,0.07443145,0.03392213,0.0004429546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3769531,0.0009889662,0.6047091,0.0003121058,0.00007045561,0.000914342,0.002388989,0.002544183,0.01111875],"genre_scores_gemma":[0.7766244,0.0005387392,0.2173911,0.00006710952,0.0000343942,0.001155064,0.002161536,0.0005221615,0.001505337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009356667,"threshold_uncertainty_score":0.04948336,"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."}}