{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00008265452,0.0001821554,0.0001525076,0.00009648027,0.0000921973,0.0001389623,0.00139607,0.00007260629,0.00009884702],"category_scores_gemma":[0.02031285,0.0001696543,0.00005933972,0.000292541,0.00001184053,0.0005931525,0.0006846943,0.0001667426,0.0002760293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002426555,"about_ca_system_score_gemma":0.000006776645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001404263,"about_ca_topic_score_gemma":3.846371e-7,"domain_scores_codex":[0.9988911,0.00001033467,0.0001702135,0.000351961,0.0002467931,0.0003295751],"domain_scores_gemma":[0.9899427,0.008677521,0.00003904264,0.001173159,0.00004227995,0.0001253198],"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":[0.000003608619,0.0002656093,0.08216234,0.0001651274,0.00007402762,0.0002150898,0.001052859,0.003832853,0.002543983,0.009261565,0.04135983,0.8590631],"study_design_scores_gemma":[0.001633814,0.0003528113,0.1666245,0.0004419959,0.00003297966,0.0002292109,0.000009860387,0.4665874,0.009545793,0.0003612657,0.3514416,0.002738707],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009799398,0.00107876,0.9865865,0.000299208,0.0006590517,0.00008507459,0.000009275151,0.001470617,0.00001212852],"genre_scores_gemma":[0.4804947,0.00003090808,0.5190737,0.0001316993,0.0001370859,0.00001220706,0.00000609254,0.00002017132,0.00009342477],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8563244,"threshold_uncertainty_score":0.9879395,"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."}}