{"id":"W3112399540","doi":"10.32918/nrs.2020.4(88).01","title":"Approach to Regulatory Pre-Licensing SMR Vendor Design Review","year":2020,"lang":"en","type":"article","venue":"Nuclear and Radiation Safety","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vendor; Risk analysis (engineering); Process (computing); Engineering management; Best practice; Business; Engineering; Computer science; Process management; Political science; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004255435,0.0001521372,0.0002983707,0.00007763438,0.0002947341,0.00004403559,0.0001677222,0.00009142209,0.0001491104],"category_scores_gemma":[0.0002469026,0.0001433846,0.00005197786,0.0003569346,0.0001019183,0.0001430831,0.00009425799,0.0001201801,0.0002996839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004317243,"about_ca_system_score_gemma":0.00001790759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003898121,"about_ca_topic_score_gemma":2.078405e-7,"domain_scores_codex":[0.9986835,0.0001402644,0.0003198049,0.0004110843,0.000223119,0.0002223003],"domain_scores_gemma":[0.9993588,0.00005467693,0.0001297823,0.0002455649,0.0000432253,0.0001679962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008177552,0.0002995251,0.001115523,0.002012105,0.0001925773,0.00001341153,0.02044041,0.00216948,0.3184032,0.02864332,0.4149667,0.2109259],"study_design_scores_gemma":[0.00107562,0.0002719169,0.08004574,0.0002261853,0.0001292134,0.00003891312,0.0006866372,0.004900932,0.002087635,0.0001584204,0.9096891,0.0006897001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7591213,0.07433833,0.02541146,0.1005595,0.001774809,0.008455873,0.0002966128,0.00556855,0.02447361],"genre_scores_gemma":[0.9706542,0.004177789,0.01277595,0.0121367,0.0001473584,0.00001332347,0.000007205398,0.00004803468,0.00003944731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4947223,"threshold_uncertainty_score":0.5847052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731385821826849,"score_gpt":0.2439285076673572,"score_spread":0.2166146494490887,"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."}}