{"id":"W4412450541","doi":"10.3390/systems13070584","title":"MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE","year":2025,"lang":"en","type":"article","venue":"Systems","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hog Administrative Marketing Services (Canada)","funders":"National Key Research and Development Program of China; Natural Science Foundation of Beijing Municipality; Beihang University; National Natural Science Foundation of China","keywords":"Computer science","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":[0.01699938,0.001115436,0.00079632,0.002230177,0.0007751848,0.00645683,0.002610235,0.001845902,0.002504354],"category_scores_gemma":[0.01775315,0.001210204,0.001200813,0.001431762,0.003695182,0.01158058,0.007016894,0.004788802,0.001223436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002124055,"about_ca_system_score_gemma":0.00568485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001590238,"about_ca_topic_score_gemma":0.001776501,"domain_scores_codex":[0.9931561,0.002707486,0.0006267834,0.00063262,0.002512519,0.0003644664],"domain_scores_gemma":[0.98893,0.003782585,0.0008211518,0.003250705,0.002460268,0.0007552756],"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":[0.00004675668,0.0001246387,0.001556133,0.0006801062,0.00005637065,0.0001372632,0.002251653,0.009073282,0.007417324,0.8516427,0.006725733,0.1202881],"study_design_scores_gemma":[0.00004225125,0.0002689065,0.001340949,0.001329876,0.00008433114,0.0005551219,0.0009838274,0.09280186,0.009847079,0.3889913,0.503645,0.0001095467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006444062,0.001107077,0.9671425,0.004779292,0.0002092279,0.0001701916,0.0001203001,0.002063115,0.01796423],"genre_scores_gemma":[0.05377004,0.001629331,0.93864,0.0009153795,0.0001100603,0.000192988,0.0004249027,0.0004704157,0.003846907],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01699938,"threshold_uncertainty_score":0.0899024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04648730203588256,"score_gpt":0.287843855285314,"score_spread":0.2413565532494315,"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."}}