{"id":"W2116550565","doi":"10.1002/j.2334-5837.2004.tb00515.x","title":"3.3.2 Design Concept Evaluation Using System Throughput Model","year":2004,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy","keywords":"License; Process (computing); Systems engineering; Iterative design; Engineering design process; Radioactive waste; Systems design; Engineering; Computer science; Operations management; Mechanical engineering; Waste management","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":[0.0001827141,0.000134355,0.0001261226,0.00005363948,0.00008855472,0.00004841329,0.0001559724,0.00006201416,0.00001224473],"category_scores_gemma":[0.0000107535,0.0001339419,0.00005273427,0.00006893749,0.00003306431,0.0002818555,0.00003548244,0.0000984293,0.00004165711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151674,"about_ca_system_score_gemma":0.00003788165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005464657,"about_ca_topic_score_gemma":0.000005216926,"domain_scores_codex":[0.999094,0.00001804391,0.000182253,0.0001551804,0.0004001169,0.0001503797],"domain_scores_gemma":[0.9996527,0.00002795917,0.00003515194,0.000116393,0.0001310819,0.0000367173],"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":[0.000007572899,0.00002042662,0.000008622417,0.00001034263,0.0001107076,0.00000518056,0.0007509738,0.9723011,0.02462019,0.001609896,0.0001497038,0.0004052731],"study_design_scores_gemma":[0.0005603788,0.00001382084,0.0000325112,0.00006593806,0.00003759019,0.00004461718,0.0001284483,0.9856253,0.01258469,0.0006266494,0.0001244944,0.000155604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1984745,0.0003174728,0.7803355,0.000430487,0.002852045,0.0004451454,0.00002665478,0.0005784813,0.01653972],"genre_scores_gemma":[0.9922665,0.00002075075,0.00732877,0.00003434604,0.0002653119,0.00001991104,0.00000744911,0.00003179815,0.00002520911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7937919,"threshold_uncertainty_score":0.5461991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384851941407029,"score_gpt":0.2757049959212274,"score_spread":0.2372198017805245,"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."}}