{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004833496,0.000462041,0.0006010956,0.0002246849,0.0004555458,0.0008068967,0.001024069,0.0007861737,0.001501345],"category_scores_gemma":[0.0006183285,0.000249214,0.0005168779,0.000198921,0.0004129693,0.0009281036,0.000373964,0.0004253044,0.0005377336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009626747,"about_ca_system_score_gemma":0.0008192929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007062842,"about_ca_topic_score_gemma":0.004285547,"domain_scores_codex":[0.9997038,0.00002209266,0.00001151141,0.00007543561,0.0001118012,0.0000752941],"domain_scores_gemma":[0.9996231,0.0001469381,0.00005564928,0.00003862441,0.0001004233,0.00003527753],"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":[0.001041672,0.0008030157,0.00801252,0.0003310835,0.00004933594,0.0007127091,0.0002542879,0.2231906,0.7386833,0.001411405,0.001130033,0.0243801],"study_design_scores_gemma":[0.00007806024,0.00116501,0.005128231,0.00001624973,0.00004672842,0.0001184619,0.0001480597,0.6775644,0.3143462,0.000213525,0.001137119,0.00003784717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868233,0.0003209328,0.01013819,0.00005274935,0.00002910447,0.00006345523,0.0002631317,0.0002289995,0.002080091],"genre_scores_gemma":[0.9952499,0.0001940278,0.002866271,0.00001409382,0.000006662335,0.00002520218,0.0001554316,0.00003939099,0.001448936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007062842,"threshold_uncertainty_score":0.01404351,"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."}}