{"id":"W1872675725","doi":"10.1109/icsm.2000.882972","title":"Bridging program comprehension tools by design navigation","year":2000,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Program comprehension; Computer science; Suite; Bridging (networking); Software engineering; Human–computer interaction; Visualization; Perspective (graphical); Comprehension; Software; World Wide Web; Software system; Programming language; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002059566,0.00007903606,0.00006977831,0.00003614035,0.00006706786,0.0002920285,0.0004278501,0.00003470523,0.0000990152],"category_scores_gemma":[0.00004443103,0.0000731883,0.00002239927,0.0003381748,0.00001591943,0.0004925674,0.00005585311,0.0001061372,0.0002935154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003552358,"about_ca_system_score_gemma":0.00002116292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001915889,"about_ca_topic_score_gemma":7.401954e-8,"domain_scores_codex":[0.9990486,0.00004243558,0.0001064125,0.0002442004,0.0003042764,0.0002540738],"domain_scores_gemma":[0.9992727,0.0002739256,0.00001009644,0.0003240501,0.00004102469,0.00007820384],"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":[0.000001792171,0.00003701673,0.0002224696,0.000005160988,0.000002903927,0.000004331609,0.00004477725,0.003307856,0.001487096,0.0001404775,0.008628197,0.9861179],"study_design_scores_gemma":[0.0002322447,0.0001464992,0.006674664,0.00003563963,0.000001106454,0.00001863222,0.000001410963,0.9632352,0.01633406,0.000136411,0.01298316,0.0002009986],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1193182,0.00005449418,0.8784658,0.0002159735,0.00005248025,0.0002939146,3.246945e-7,0.001269409,0.0003293895],"genre_scores_gemma":[0.7080194,0.000005438113,0.2907934,0.00006114792,0.00002789413,0.00004423009,0.000007526251,0.000009852444,0.00103108],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9859169,"threshold_uncertainty_score":0.3772645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368598519605998,"score_gpt":0.2890319619566504,"score_spread":0.2553459767605905,"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."}}