{"id":"W2136714574","doi":"10.1002/j.2334-5837.2005.tb00718.x","title":"6.3.1 The MSOCC Data Switch Replacement: A Case Study in Elicitating and Elucidating Requirements","year":2005,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; System requirements; Set (abstract data type); Requirements analysis; Requirements engineering; Non-functional requirement; Process (computing); Requirements management; Functional requirement; Architecture; Systems engineering; Risk analysis (engineering); Reliability engineering; Software engineering; Engineering; Business; Software development; Programming language","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":[0.001099826,0.0001212602,0.0001057082,0.00005216691,0.0001223139,0.000118885,0.0004238221,0.00003251465,0.000004874239],"category_scores_gemma":[0.0001610171,0.0001032531,0.00001296854,0.0001171299,0.00001564761,0.0002326072,0.0002705888,0.0001420419,0.00000698668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349216,"about_ca_system_score_gemma":0.000006477771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003487172,"about_ca_topic_score_gemma":0.000756015,"domain_scores_codex":[0.9989394,0.00003748881,0.0004142656,0.0002419474,0.0001875697,0.0001793517],"domain_scores_gemma":[0.9989966,0.000426603,0.00005598873,0.0004559511,0.00003546611,0.00002938737],"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":[0.0001289177,0.0009270037,0.117699,0.0002340278,0.001473264,0.001160209,0.02242319,0.4039853,0.09080418,0.005766951,0.005579755,0.3498182],"study_design_scores_gemma":[0.001483812,0.00007322977,0.003508027,0.0001181139,0.00002807175,0.0010054,0.008738073,0.9490256,0.0009096205,0.0001309435,0.03454622,0.0004328393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909644,0.0001965599,0.005817163,0.0006878482,0.0005274906,0.0004135968,0.00001892247,0.0001540872,0.001219969],"genre_scores_gemma":[0.9954063,0.00006533081,0.003978927,0.00002402045,0.0003038509,0.0001287275,0.00001471761,0.00002223729,0.00005583714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5450403,"threshold_uncertainty_score":0.421054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07377946673214476,"score_gpt":0.3533477950104871,"score_spread":0.2795683282783424,"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."}}