{"id":"W2007654216","doi":"10.1109/pmaps.2006.360250","title":"Life Cycle Management ¿ Distributed Web-based Software Development with Evolutionary Programming and Stochastic Optimization","year":2006,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Computer science; Genetic programming; Monte Carlo method; Software development; Software; Software maintenance; Software development process; Software engineering; Distributed computing; Mathematical optimization; Programming language; Artificial intelligence; Mathematics","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":[0.00006625816,0.0001199689,0.00009983201,0.00004501615,0.00007398264,0.00002923775,0.00004869335,0.00003411728,0.00001368958],"category_scores_gemma":[0.00001000281,0.000101674,0.00001198262,0.0001397973,0.00002738057,0.00007612862,0.0000179527,0.00004107557,0.000004768051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119857,"about_ca_system_score_gemma":0.00003886495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001067714,"about_ca_topic_score_gemma":0.00002151752,"domain_scores_codex":[0.9993321,0.000007779162,0.000169912,0.0001585775,0.0001296433,0.0002020157],"domain_scores_gemma":[0.9997384,0.00001842578,0.00001963195,0.0001090102,0.00003855297,0.00007598621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009419833,0.00003001856,0.0005171719,0.0001900343,0.00001854944,0.000003203841,0.000010516,0.997429,0.000001370953,0.0002045565,0.00046575,0.001120428],"study_design_scores_gemma":[0.0007838272,0.0000240663,0.007417944,0.0001551619,0.00001859495,0.000004554033,0.00005904501,0.9862663,0.00002117753,0.00002161428,0.004981541,0.0002461317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007172327,0.0001545247,0.9911934,0.00005011546,0.00005654714,0.0003713806,0.000007445565,0.0005743706,0.0004199579],"genre_scores_gemma":[0.7995126,0.000001333102,0.2001832,0.0000179404,0.00001079764,0.0001075702,0.00009081512,0.00001432799,0.00006140592],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7923403,"threshold_uncertainty_score":0.4146145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002993211474885701,"score_gpt":0.1600320751436708,"score_spread":0.1570388636687851,"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."}}