{"id":"W1507022657","doi":"10.1002/j.2334-5837.2014.tb03145.x","title":"3.1.1 Model Lifecycle Management for MBSE","year":2014,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Scope (computer science); Vendor; Systems engineering; Computer science; System lifecycle; Implementation; Engineering management; Product life-cycle management; Unified Modeling Language; Key (lock); Process management; Software engineering; Application lifecycle management; Software; Engineering; Business; Computer security","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":[0.0001893987,0.00009968117,0.00009233569,0.00004731129,0.0000326361,0.00003282818,0.0002555186,0.00004448014,0.000006736084],"category_scores_gemma":[0.00001783157,0.0001026709,0.0000602115,0.00004514014,0.000008836775,0.00005914652,0.00003719946,0.00004570328,0.00003428102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007019257,"about_ca_system_score_gemma":0.000001774643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003401861,"about_ca_topic_score_gemma":0.000001661344,"domain_scores_codex":[0.9994392,0.000005226424,0.0001742309,0.0001331688,0.0001098533,0.000138343],"domain_scores_gemma":[0.9996295,0.00009791127,0.00001970429,0.0001815853,0.00003777555,0.00003350512],"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":[0.000004252749,0.00001642071,0.00002304436,0.00005156873,0.00006573024,3.423534e-7,0.00003641796,0.9121205,0.01200626,0.06566275,0.004291448,0.005721234],"study_design_scores_gemma":[0.0002319719,0.000008302857,0.0001033849,0.0000171025,0.000009033472,0.000003231707,0.000008588649,0.9064898,0.002218981,0.004395286,0.08639333,0.0001209085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02250959,0.00002253022,0.946967,0.0004578504,0.00101168,0.0002448618,0.00002261669,0.0004388536,0.028325],"genre_scores_gemma":[0.9429061,0.00003620028,0.05529146,0.00008059651,0.0003570254,0.0004177947,0.00002565957,0.00003308514,0.000852096],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9203965,"threshold_uncertainty_score":0.4186797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566886636467992,"score_gpt":0.2680464235069736,"score_spread":0.2423775571422936,"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."}}