{"id":"W4299805087","doi":"10.1016/j.nucengdes.2022.111994","title":"Aerosol retention within submerged Containment-Type iPWRs: Experiments and modeling","year":2022,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"Atomic Energy of Canada Limited","keywords":"Containment (computer programming); Aerosol; Containment building; Nuclear engineering; Environmental science; Waste management; Materials science; Engineering; Meteorology; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004159941,0.0001116721,0.0001344735,0.00003578639,0.0002580541,0.0001251335,0.00007333861,0.00002939277,0.000363618],"category_scores_gemma":[0.0000192899,0.0001068892,0.00001335527,0.00004414548,0.00001765674,0.0001267477,0.0001187615,0.00007697192,0.00001598519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002830945,"about_ca_system_score_gemma":0.000007249289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004089683,"about_ca_topic_score_gemma":1.086206e-7,"domain_scores_codex":[0.9992331,0.00006941657,0.0001584098,0.0002145885,0.0001500987,0.0001743681],"domain_scores_gemma":[0.999773,0.000008516859,0.00003333638,0.000107438,0.00001514448,0.00006251614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001325927,0.00001104804,0.000003378541,0.00002016687,0.000005625678,0.000003661776,0.001157039,0.03778317,0.9604273,0.0002972449,0.00008939762,0.00006931605],"study_design_scores_gemma":[0.0008772361,0.0007146315,0.00003857799,0.00004918335,0.00002928393,0.00005862155,0.001348016,0.8560503,0.1380836,0.00012672,0.002126661,0.0004971629],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974856,0.0004735918,0.001181816,0.00003055543,0.0005089696,0.0001399574,0.000003321068,0.0001426868,0.00003346245],"genre_scores_gemma":[0.995004,0.00003664909,0.004746806,0.00006241629,0.0000346437,0.00001405753,0.00000157467,0.00003629911,0.00006357262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8223437,"threshold_uncertainty_score":0.4358816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04649060373967644,"score_gpt":0.2168680345321391,"score_spread":0.1703774307924626,"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."}}