{"id":"W1999242349","doi":"10.1016/j.nimb.2014.10.013","title":"An investigation of the neutron flux in bone-fluorine phantoms comparing accelerator based in vivo neutron activation analysis and FLUKA simulation data","year":2014,"lang":"en","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":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Neutron; Imaging phantom; Neutron flux; Physics; Neutron activation analysis; Flux (metallurgy); Materials science; Bottle; Neutron activation; Neutron temperature; Irradiation; Neutron source; Nuclear physics; Neutron capture; Radiochemistry; Nuclear engineering; Optics; Chemistry; Composite material; Engineering","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":[0.0006219613,0.0002893238,0.000218357,0.0007905459,0.0002596752,0.0004194357,0.0002967182,0.0004213172,0.001603393],"category_scores_gemma":[0.001116285,0.0002110146,0.0002010111,0.0006214823,0.0002247783,0.0002545354,0.0002053036,0.0001672941,0.0001426915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509816,"about_ca_system_score_gemma":0.0003329885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886609,"about_ca_topic_score_gemma":0.003184025,"domain_scores_codex":[0.9998735,0.00003566896,0.00001010338,0.00002553167,0.00004137916,0.00001382658],"domain_scores_gemma":[0.9994561,0.0003240161,0.00008074952,0.0000420191,0.00008081007,0.00001629005],"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":[0.002143498,0.00009863119,0.01275335,0.0003236988,0.00005601451,0.0004289045,0.0005449745,0.02447185,0.9439483,0.001015462,0.0001743326,0.01404094],"study_design_scores_gemma":[0.00004892334,0.0008024222,0.09045862,0.00007803521,0.0001743684,0.003291262,0.0004084506,0.08514468,0.8144678,0.0004036792,0.004664515,0.00005722762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732267,0.0006403729,0.02299789,0.00005149485,0.00001235913,0.0000242912,0.0005386102,0.0002389822,0.002269167],"genre_scores_gemma":[0.9873197,0.0003074853,0.01049663,0.00001421851,0.000002044158,0.00001599371,0.0003544586,0.00007507507,0.001414395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002886609,"threshold_uncertainty_score":0.00573957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07152785343101288,"score_gpt":0.4141343763940816,"score_spread":0.3426065229630688,"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."}}