{"id":"W2463570186","doi":"","title":"The pervasiveness of global data in evolving software systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Leverage (statistics); Code refactoring; Software; Software development; Software evolution; Software system; Data science; Software engineering; Software metric; Software construction; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002391012,0.00005089058,0.00008865414,0.000009470414,0.0001774292,0.0001770768,0.0002851577,0.00001390737,0.0001843401],"category_scores_gemma":[0.00003845397,0.00003163253,0.00001687912,0.00002837463,0.0001038314,0.0001687732,0.000108354,0.00003114418,0.00001141222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003064638,"about_ca_system_score_gemma":0.00003761408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02124111,"about_ca_topic_score_gemma":0.2206032,"domain_scores_codex":[0.9994423,0.00003896536,0.0001846018,0.000102882,0.0001203789,0.0001108592],"domain_scores_gemma":[0.9995023,0.00006680468,0.00004760339,0.0002796499,0.0000936023,0.00001004242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004326997,0.00005374735,0.1663131,0.0000437412,0.00001233814,0.000003253912,0.0002507832,0.00003603861,0.00001268754,0.8214001,0.01145806,0.000411859],"study_design_scores_gemma":[0.0007809874,0.00006959787,0.4484389,0.0002017998,0.00003375734,0.000003832581,0.01055976,0.005209644,0.00004793554,0.02089776,0.5133396,0.0004164383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621556,0.001870451,0.0001046157,0.0002340034,0.0009764572,0.0002523188,0.0003019365,0.00004005106,0.1340646],"genre_scores_gemma":[0.9959133,0.000009292065,0.000008235198,0.000008964995,0.0001489153,0.00000309471,0.00001514704,0.000003039555,0.003890001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8005023,"threshold_uncertainty_score":0.9852765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012145216912319,"score_gpt":0.2569127109457115,"score_spread":0.2167912587765883,"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."}}