{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1561993,0.0009560643,0.001547787,0.01130966,0.004079868,0.01214823,0.005187207,0.00690822,0.004006463],"category_scores_gemma":[0.1501027,0.001197641,0.002090661,0.006104632,0.00391686,0.007301868,0.005160233,0.006861948,0.002711942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02207844,"about_ca_system_score_gemma":0.122565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418472,"about_ca_topic_score_gemma":0.02342588,"domain_scores_codex":[0.8260673,0.07657698,0.01714389,0.008866664,0.06667718,0.004668117],"domain_scores_gemma":[0.7639495,0.07077229,0.01126712,0.01443387,0.1355496,0.004027675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000253389,0.0004892699,0.002652121,0.01879201,0.0002583369,0.001787386,0.01871706,0.002142574,0.01633232,0.2817798,0.104435,0.5523608],"study_design_scores_gemma":[0.00008352998,0.000351876,0.002954725,0.008108359,0.000141966,0.0006361466,0.002884939,0.0006993473,0.00680494,0.01770987,0.9594771,0.0001472824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03433125,0.1222916,0.433,0.08387605,0.01090927,0.06542989,0.003189529,0.001917938,0.2450546],"genre_scores_gemma":[0.1991706,0.05987513,0.5727582,0.03271045,0.002573786,0.02925644,0.002974744,0.0006122339,0.1000684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1561993,"threshold_uncertainty_score":0.8260708,"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."}}