{"id":"W2143728276","doi":"10.1109/icsm.2004.1357812","title":"Predicting change propagation in software systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Heuristics; Software system; Software evolution; Software; Source code; Software development; Open source software; Software engineering; Software metric; Software quality; Software construction; Programming language; Operating system","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":[0.000284798,0.00006059077,0.00006606871,0.0001554125,0.00002795919,0.0001104749,0.0003605344,0.00003703539,0.000001663515],"category_scores_gemma":[0.0004187786,0.00005492137,0.00001195285,0.0004890143,0.000007371735,0.000579284,0.0001174561,0.0001079057,0.00004570703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001480233,"about_ca_system_score_gemma":0.00004476298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000550953,"about_ca_topic_score_gemma":0.00002779032,"domain_scores_codex":[0.999176,0.00001579068,0.0001161172,0.0002013572,0.0002661563,0.0002245838],"domain_scores_gemma":[0.9995181,0.0001119942,0.00001661776,0.0002554317,0.00004947302,0.000048379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003870739,0.0001481589,0.8478059,0.0003408823,0.00001286848,0.0001596389,0.005212035,0.0521048,0.0004305154,0.04941639,0.00008339402,0.04428157],"study_design_scores_gemma":[0.00154543,0.0002291756,0.7055153,0.0005808421,0.000001722375,0.00008996417,0.0001091096,0.2867299,0.002942573,0.001366392,0.0003518566,0.0005378382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743065,0.0001178126,0.8239264,0.0002131061,0.0003024206,0.0003265902,3.003746e-7,0.0007144436,0.00009232177],"genre_scores_gemma":[0.9782859,0.000002498358,0.02143501,0.00002308396,0.00007805609,0.0001103879,8.011551e-7,0.000006854769,0.00005742543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8039793,"threshold_uncertainty_score":0.2239628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377002105423018,"score_gpt":0.2606648727344784,"score_spread":0.2268948516802482,"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."}}