{"id":"W1957789923","doi":"10.1109/icsm.1998.738502","title":"Practices of software maintenance","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Documentation; Software maintenance; Software engineering; Computer science; Software system; Work (physics); Field (mathematics); Software; Information system; Software development; Scale (ratio); Engineering management; Engineering; Programming language","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":[0.009540439,0.0003675616,0.0002320618,0.003261945,0.004493819,0.004810397,0.001427994,0.001651173,0.001695433],"category_scores_gemma":[0.05281163,0.0005033094,0.0001914676,0.002651843,0.0107442,0.005331368,0.004391623,0.001801752,0.0002783806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004810906,"about_ca_system_score_gemma":0.00394868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005608326,"about_ca_topic_score_gemma":0.00596689,"domain_scores_codex":[0.9740497,0.01786387,0.0007873157,0.001451261,0.004690379,0.001157461],"domain_scores_gemma":[0.9436789,0.03972353,0.006927043,0.004443559,0.003760921,0.001466089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004537636,0.00008119221,0.01999536,0.0002313558,0.00001550055,0.0005521257,0.840659,0.0004898404,0.002195687,0.04105329,0.001712065,0.09296931],"study_design_scores_gemma":[0.0000250356,0.0002367805,0.02576573,0.0009300415,0.00003060157,0.002320276,0.6228794,0.002748865,0.002469853,0.03905131,0.3034617,0.00008040572],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8681485,0.005670232,0.04040736,0.01037519,0.00008682791,0.0001475496,0.00005473537,0.0001924358,0.07491723],"genre_scores_gemma":[0.9909384,0.001110191,0.005190331,0.0002367068,0.00001411733,0.00003900799,0.00002707194,0.0000253855,0.002418701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009540439,"threshold_uncertainty_score":0.05045527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094143050561529,"score_gpt":0.2869531229939031,"score_spread":0.2460116924882878,"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."}}