{"id":"W4253675410","doi":"10.1109/iwpse.2004.1334769","title":"Evolution spectrographs: visualizing punctuated change in software evolution","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Software evolution; Punctuated equilibrium; Computer science; Punctuation; Software; Visualization; Software visualization; Spectrograph; Process (computing); Software development; Paleontology; Data mining; Artificial intelligence; Geology; Software construction; Programming language; Astronomy; Physics","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":[0.000641921,0.0004795303,0.0002067717,0.005124453,0.0003902761,0.0007811193,0.0003988707,0.000730463,0.002848912],"category_scores_gemma":[0.003303438,0.0002246456,0.0002822557,0.002536034,0.0003017347,0.001291438,0.001008698,0.0007687397,0.0003013418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864506,"about_ca_system_score_gemma":0.0004161207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004424446,"about_ca_topic_score_gemma":0.00491584,"domain_scores_codex":[0.9997641,0.00006807974,0.00001576606,0.00004015467,0.00007694613,0.00003492297],"domain_scores_gemma":[0.9979342,0.00102351,0.0003603735,0.00014785,0.0003622672,0.0001717925],"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":[0.001527779,0.0003658001,0.057921,0.001072142,0.0002783058,0.001747925,0.01646304,0.02664906,0.2060038,0.01998547,0.03295786,0.6350277],"study_design_scores_gemma":[0.0002234184,0.000579337,0.2892632,0.0004547328,0.0002470058,0.0031199,0.005064924,0.459925,0.1194087,0.02835662,0.09291438,0.0004429359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5408054,0.001126098,0.4144818,0.00112242,0.000155688,0.000283154,0.006134465,0.02547683,0.01041427],"genre_scores_gemma":[0.7771896,0.0006251465,0.21638,0.0001493835,0.00006445616,0.0001825754,0.002110837,0.0009264526,0.002371626],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005124453,"threshold_uncertainty_score":0.009530604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257458166011759,"score_gpt":0.2880112441571526,"score_spread":0.2622654275559766,"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."}}