{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01392974,0.0009968227,0.0009322162,0.002776441,0.001568129,0.008233585,0.003098935,0.002042692,0.006573691],"category_scores_gemma":[0.02117136,0.001088691,0.002218601,0.003240268,0.001747344,0.0119398,0.007178618,0.005110642,0.002893677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002598898,"about_ca_system_score_gemma":0.004519704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004711355,"about_ca_topic_score_gemma":0.004350436,"domain_scores_codex":[0.9884609,0.003836317,0.001400082,0.0009463083,0.004792029,0.0005643098],"domain_scores_gemma":[0.9845912,0.004029966,0.001309772,0.006413441,0.003269431,0.0003861662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001334987,0.0002322458,0.00432395,0.001260891,0.0001557313,0.0004625807,0.003042712,0.02738539,0.009965189,0.6341489,0.02536844,0.2935205],"study_design_scores_gemma":[0.0000422571,0.0001084264,0.001073311,0.001110648,0.0000943735,0.0006302445,0.0008274956,0.1412919,0.01293518,0.1959791,0.6457959,0.0001111003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002868584,0.000657874,0.971565,0.002427636,0.0001380764,0.0003149242,0.0007082124,0.004713772,0.01660584],"genre_scores_gemma":[0.06606437,0.001313586,0.9210905,0.0006717817,0.000138204,0.0005541514,0.002772149,0.001160883,0.00623427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01392974,"threshold_uncertainty_score":0.07366836,"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."}}