{"id":"W2313384906","doi":"10.1016/j.nimb.2009.10.189","title":"(n,2n) and (n,3n) cross-sections of neutron-induced reactions on 150Sm for <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si40.gif\" overflow=\"scroll\"><mml:mrow><mml:msub><mml:mrow><mml:mi>E</mml:mi></mml:mrow><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn>1</mml:mn><mml:ms>–</mml:ms><mml:mn>35</mml:mn></mml:mrow></mml:math>MeV","year":2009,"lang":"lv","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Physics; Neutron; Nuclear reaction; Atomic physics; Excited state; Cross section (physics); Ground state; Neutron temperature; Nuclear physics","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":[0.00133465,0.001398846,0.0005247714,0.002745215,0.0008230594,0.0009505022,0.00151089,0.001130806,0.08185449],"category_scores_gemma":[0.001033795,0.0008037845,0.001513671,0.001696362,0.0006348632,0.001380678,0.00117121,0.0008328358,0.005805986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217945,"about_ca_system_score_gemma":0.0007163307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005719244,"about_ca_topic_score_gemma":0.009382107,"domain_scores_codex":[0.9992971,0.0001293265,0.00002642722,0.0001788632,0.0001769511,0.0001913033],"domain_scores_gemma":[0.9993111,0.0003348388,0.000116309,0.00007907838,0.00009085146,0.00006785525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004094754,0.0004341484,0.03792567,0.002822611,0.001094499,0.002635945,0.002011875,0.06669646,0.5067326,0.2450946,0.06649715,0.06395965],"study_design_scores_gemma":[0.0002882129,0.0005056137,0.1385771,0.000396737,0.0005142068,0.002040426,0.0007739938,0.06837303,0.6796959,0.04426141,0.06422395,0.0003494341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6383554,0.003456095,0.03278327,0.0006719851,0.0005401347,0.0001586068,0.0220051,0.002308647,0.2997207],"genre_scores_gemma":[0.9089031,0.001200258,0.005078585,0.0004385794,0.00005644561,0.0001654608,0.01799067,0.001249928,0.06491695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08185449,"threshold_uncertainty_score":0.2738305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03296378177391297,"score_gpt":0.3248425244785419,"score_spread":0.2918787427046289,"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."}}