{"id":"W2009020813","doi":"10.1007/s10967-014-3044-y","title":"Towards routine NAA of materials rich in heavy elements with iterative gamma-ray attenuation and neutron self-shielding calculations","year":2014,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Neutron; Attenuation; Neutron activation analysis; Electromagnetic shielding; Gamma ray; Radiochemistry; Materials science; Neutron temperature; Chemistry; Nuclear physics; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537468,0.001020594,0.0009696753,0.001019824,0.0007086333,0.001354494,0.002240355,0.001096417,0.004611345],"category_scores_gemma":[0.004083256,0.0008373752,0.0008021332,0.0006922161,0.0006089731,0.001436156,0.001842244,0.001005242,0.00174572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007112601,"about_ca_system_score_gemma":0.001544779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002149207,"about_ca_topic_score_gemma":0.00434393,"domain_scores_codex":[0.9996265,0.0001198742,0.00002446227,0.00003923443,0.0001527256,0.00003716608],"domain_scores_gemma":[0.9985588,0.0005524189,0.0001095354,0.0002954918,0.0004249291,0.00005879602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006945991,0.0002693097,0.003339751,0.001173804,0.0004662015,0.0004612647,0.0007168298,0.5609979,0.1104245,0.09164625,0.00706052,0.2227491],"study_design_scores_gemma":[0.00004403121,0.00005558285,0.000284748,0.00004998181,0.00004448032,0.0001050438,0.00007791879,0.9434751,0.02398733,0.02411351,0.007737575,0.00002474994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0419197,0.0002983457,0.945393,0.0001852964,0.00004900126,0.0001029169,0.0002267914,0.003390956,0.008434097],"genre_scores_gemma":[0.2530895,0.0002765124,0.7390653,0.0001888868,0.0000293164,0.0001951717,0.0003995318,0.00146565,0.005290096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004611345,"threshold_uncertainty_score":0.01542646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004955761791865865,"score_gpt":0.22406935497114,"score_spread":0.2191135931792741,"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."}}