{"id":"W1532111756","doi":"","title":"Overcoming the Prevalent Decomposition of Legacy Code","year":2001,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Modular programming; Legacy system; Software engineering; Computer science; Programming language; Software; Code (set theory); Decomposition","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":[0.005428495,0.0008454037,0.0004891425,0.002895353,0.001299048,0.002512367,0.001473099,0.001188308,0.0009718534],"category_scores_gemma":[0.02225244,0.001021768,0.0007763281,0.001752294,0.001912546,0.004953741,0.005150347,0.002859714,0.000836168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205186,"about_ca_system_score_gemma":0.003197999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002474946,"about_ca_topic_score_gemma":0.003318727,"domain_scores_codex":[0.9925012,0.001079458,0.0003832332,0.0009476067,0.004722076,0.0003664884],"domain_scores_gemma":[0.9727886,0.007112536,0.005684109,0.007189204,0.006542965,0.0006825098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002933246,0.0003742882,0.03389647,0.001571511,0.000192149,0.002184551,0.01418211,0.01138533,0.08779051,0.0468392,0.01186808,0.7894225],"study_design_scores_gemma":[0.0001279486,0.0008956529,0.0572734,0.003605109,0.000694072,0.01229745,0.0107168,0.2979413,0.1571287,0.1906938,0.2683021,0.0003237098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1782393,0.001747805,0.806303,0.00337607,0.0001342578,0.0002119525,0.000137072,0.003591597,0.006258947],"genre_scores_gemma":[0.351843,0.001641131,0.6352824,0.001226058,0.0001177226,0.0001440461,0.0005300397,0.001655787,0.007559749],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005428495,"threshold_uncertainty_score":0.02870893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04292227411860508,"score_gpt":0.2862843658279624,"score_spread":0.2433620917093573,"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."}}