{"id":"W4230056407","doi":"10.1145/634636.586103","title":"STEP","year":2002,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Tracing; Compiler; Programming language; Java; TRACE (psycholinguistics); Reuse; Interface (matter); Software engineering; Encoding (memory); Set (abstract data type); Operating system; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009480481,0.001035517,0.0006257596,0.001464427,0.001018015,0.003028398,0.001889474,0.001103523,0.1338257],"category_scores_gemma":[0.003675682,0.0005244451,0.0007624828,0.001202122,0.0004783511,0.003579112,0.003563269,0.001325863,0.1208533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006014059,"about_ca_system_score_gemma":0.001890714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360602,"about_ca_topic_score_gemma":0.002112994,"domain_scores_codex":[0.9987717,0.0001391389,0.000109527,0.0003489525,0.0004702632,0.0001603788],"domain_scores_gemma":[0.9978215,0.0002458446,0.00009677784,0.0009910599,0.0007289631,0.0001158905],"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":[0.00107538,0.0002449757,0.003206914,0.0008327508,0.00007064374,0.0003753146,0.0005311204,0.001788091,0.02252121,0.06766059,0.2892474,0.6124457],"study_design_scores_gemma":[0.00009848703,0.0001446018,0.001159846,0.0001093846,0.00003969801,0.0005065016,0.0001990056,0.009088435,0.0408722,0.01854637,0.9291783,0.00005713428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01808081,0.0006535054,0.4924071,0.001092387,0.001202727,0.001441862,0.02372083,0.1691574,0.2922435],"genre_scores_gemma":[0.1073593,0.0008378418,0.3949073,0.002113935,0.0002536983,0.001454807,0.06395819,0.02049826,0.4086167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1338257,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012977184552561,"score_gpt":0.2108884032394448,"score_spread":0.1907586313939192,"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."}}