{"id":"W3096572278","doi":"10.1145/3419804.3420272","title":"Traceability Management of GRL and SysML Models","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Systems Modeling Language; Traceability; Computer science; Requirements traceability; Systems engineering; Unified Modeling Language; Consistency (knowledge bases); IBM; Software engineering; Completeness (order theory); Requirements engineering; Engineering; Programming language; Artificial intelligence","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":[0.0001577128,0.00005249412,0.00009764987,0.00001129081,0.00001056636,0.000008922593,0.0002504314,0.00001486626,0.000001654877],"category_scores_gemma":[0.00003858267,0.00004514365,0.00001577043,0.0001181334,0.00002266761,0.0002199142,0.0002377711,0.00003642601,0.000001000625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005557756,"about_ca_system_score_gemma":0.000002829358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001152834,"about_ca_topic_score_gemma":6.531345e-8,"domain_scores_codex":[0.9995301,0.00002530613,0.00009883285,0.0001863179,0.00008057099,0.00007890244],"domain_scores_gemma":[0.9995981,0.0001241746,0.00001827258,0.0002036482,0.00001511433,0.00004068051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006728681,0.00002291021,0.0001120015,0.0004170708,0.00003122222,0.00001085001,0.001199418,0.379452,0.0002741534,0.475209,0.0001016675,0.143163],"study_design_scores_gemma":[0.0002580804,0.00009947783,0.002235781,0.00001773456,0.000007163475,0.000002633954,0.0001392609,0.7747,0.004294023,0.2178912,0.0001622133,0.0001924449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003382219,0.000148426,0.9947638,0.0005164145,0.00003703992,0.00007320011,3.459698e-7,0.000398872,0.0006796817],"genre_scores_gemma":[0.2943132,0.00001985983,0.7055916,0.00004723113,0.000002819427,0.000002348957,4.338468e-8,0.000001779945,0.00002111526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3952481,"threshold_uncertainty_score":0.1840904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08868052516072931,"score_gpt":0.2696939762198137,"score_spread":0.1810134510590843,"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."}}