{"id":"W3183735209","doi":"10.1002/sys.21592","title":"MBSE delivers significant return on investment in evolutionary development of complex SoS","year":2021,"lang":"en","type":"article","venue":"Systems Engineering","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Process (computing); Return on investment; Baseline (sea); Quality (philosophy); Systems engineering; Engineering; Operating system; Production (economics)","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":[0.00425446,0.0005285157,0.0002283769,0.001147476,0.0003007,0.002177959,0.0007433167,0.0005537223,0.004121184],"category_scores_gemma":[0.01768811,0.0002254438,0.00029584,0.0007108533,0.0005494533,0.002180246,0.002085462,0.0008687496,0.001006407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723574,"about_ca_system_score_gemma":0.00131279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001596889,"about_ca_topic_score_gemma":0.001679636,"domain_scores_codex":[0.9972699,0.0007239926,0.00008713452,0.0001684412,0.00140873,0.0003417511],"domain_scores_gemma":[0.9907803,0.003418204,0.001146666,0.00164726,0.002245244,0.0007623787],"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":[0.0007016647,0.0008536039,0.02859333,0.0004850797,0.00008679798,0.0008263634,0.0008713658,0.07162668,0.03858484,0.02757283,0.007420891,0.8223765],"study_design_scores_gemma":[0.0003874072,0.00898348,0.1655142,0.001116379,0.0002728957,0.001997971,0.004553297,0.4553614,0.1848667,0.04099032,0.1357633,0.0001926665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8498434,0.0009306606,0.08211712,0.003551747,0.00009336533,0.0002916369,0.0004909346,0.002650394,0.06003072],"genre_scores_gemma":[0.9430526,0.0003046801,0.0525277,0.0001411069,0.00001422295,0.00005824324,0.0003732871,0.0001849611,0.003343069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00425446,"threshold_uncertainty_score":0.02249998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05833198549743977,"score_gpt":0.2407030128020985,"score_spread":0.1823710273046588,"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."}}