{"id":"W2158800048","doi":"10.1145/586094.586103","title":"STEP","year":2002,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Computer science; Tracing; Compiler; Programming language; Java; TRACE (psycholinguistics); Reuse; Interface (matter); Encoding (memory); Set (abstract data type); Software engineering; Operating system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00004228004,0.00003056277,0.00003109359,0.00003026059,0.00003658955,0.00005159831,0.0003142909,0.00001371221,0.0001211294],"category_scores_gemma":[0.000006031049,0.00002575517,0.00001424259,0.0001292131,0.00000549393,0.0001124643,0.00006631996,0.0000243331,0.0002213457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004262073,"about_ca_system_score_gemma":0.000001374326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002548656,"about_ca_topic_score_gemma":1.851992e-7,"domain_scores_codex":[0.9997032,0.00001077907,0.00005284051,0.00009751583,0.00006124702,0.00007446324],"domain_scores_gemma":[0.9997297,0.00001239339,0.00001205303,0.0002034319,0.00001783559,0.00002458017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[1.413749e-7,0.00005046319,0.0001956942,0.00000167727,0.00000354462,0.000004813008,0.0001611434,0.0007462996,0.00002674522,0.455954,0.332244,0.2106115],"study_design_scores_gemma":[0.00003649356,0.00001252552,0.00005378027,0.000001103527,1.650236e-7,0.000003850217,6.066099e-7,0.9670411,0.0004196159,0.0008214811,0.03156102,0.00004822399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004273499,0.00003704404,0.8107488,0.0005836128,0.00003842375,0.00001644956,1.786733e-8,0.0007383474,0.1877946],"genre_scores_gemma":[0.2026843,0.0000138283,0.7889345,0.0006501535,0.00001371668,0.000001427314,6.926884e-8,0.000001578125,0.007700352],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9662948,"threshold_uncertainty_score":0.2845025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432430694474194,"score_gpt":0.2374849704820321,"score_spread":0.2131606635372901,"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."}}