{"id":"W2020456191","doi":"10.1016/j.apradiso.2004.03.062","title":"Application of spectral decomposition analysis to in vivo quantification of aluminum by neutron activation analysis","year":2004,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Neutron activation analysis; Context (archaeology); Decomposition; Spectral analysis; Osteomalacia; In vivo; Chemistry; Nuclear medicine; Radiochemistry; Physics; Medicine; Spectroscopy; Pathology; Geology; Osteoporosis","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":[0.0005713862,0.0004404431,0.0003533759,0.0008728202,0.0003069142,0.0004848754,0.0002647919,0.000478518,0.0006461586],"category_scores_gemma":[0.0006324674,0.00023684,0.000327732,0.0005606341,0.0003487054,0.0004377716,0.0003510661,0.0005593381,0.0001896207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249596,"about_ca_system_score_gemma":0.0004026729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009655843,"about_ca_topic_score_gemma":0.001623687,"domain_scores_codex":[0.9998405,0.00005566372,0.000006610807,0.0000399786,0.00003900464,0.00001825107],"domain_scores_gemma":[0.9997762,0.0000878432,0.00002712156,0.00002638654,0.00006802591,0.00001441358],"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":[0.0001508548,0.00002704926,0.0004418733,0.00005857586,0.00001467213,0.00002961417,0.0000249809,0.001242787,0.9810324,0.0003381353,0.00004590894,0.01659312],"study_design_scores_gemma":[0.00001734712,0.0001362274,0.003124541,0.00001374557,0.00005975955,0.0005106806,0.00004905052,0.04947639,0.9437809,0.001122449,0.001689206,0.00001971918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3239489,0.002767351,0.6695287,0.0002438813,0.00006168162,0.00008223279,0.0001716023,0.0004028604,0.00279277],"genre_scores_gemma":[0.6726244,0.002357772,0.3221463,0.0001148092,0.00002226701,0.00007224247,0.0001658201,0.0001020365,0.002394361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009655843,"threshold_uncertainty_score":0.003021836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004387631753728686,"score_gpt":0.2456455706026422,"score_spread":0.2412579388489135,"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."}}