{"id":"W2006471749","doi":"10.1007/s10967-006-0273-8","title":"Improvement ofin vivoneutron activation analysis of Mn using a 4p NaI(Tl) detector array","year":2006,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; McMaster University Medical Centre; McMaster University","funders":"","keywords":"Calibration; Detector; Detection limit; Manganese; Proton; Nuclear medicine; Neutron activation analysis; Irradiation; Analytical Chemistry (journal); Beam (structure); X-ray; Neutron; Chemistry; Materials science; Radiochemistry; Physics; Optics; 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":[0.0008604561,0.0006036493,0.0004689169,0.0003445785,0.0002879704,0.0007326946,0.0009198823,0.000786091,0.002004371],"category_scores_gemma":[0.0006123509,0.0004991852,0.0002922291,0.000279109,0.0002550529,0.0007187034,0.0006178266,0.0004471988,0.000733264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004585198,"about_ca_system_score_gemma":0.0004642004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136351,"about_ca_topic_score_gemma":0.002933883,"domain_scores_codex":[0.9996137,0.00009425249,0.00001824244,0.0001167071,0.0001194956,0.0000376051],"domain_scores_gemma":[0.9996841,0.00009324247,0.00005608424,0.00005361455,0.00009211575,0.00002082385],"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":[0.0001895371,0.00001272677,0.001223894,0.00003925346,0.00001310429,0.00003079427,0.00002214997,0.0002456434,0.9935434,0.0001762952,0.00009997594,0.004403206],"study_design_scores_gemma":[0.00001681238,0.0000880622,0.0026497,0.000004320034,0.00003722883,0.0001943178,0.00001388221,0.006612856,0.9873568,0.00006221867,0.002953175,0.00001064047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7028611,0.00149181,0.2846496,0.0005061835,0.00009409132,0.0001155159,0.0007129106,0.001761136,0.007807605],"genre_scores_gemma":[0.8073688,0.0005665416,0.1819247,0.0001838848,0.00003254845,0.00009526156,0.0007837306,0.0003512758,0.008693344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002004371,"threshold_uncertainty_score":0.006705344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005297836372550394,"score_gpt":0.2189585287105111,"score_spread":0.2136606923379608,"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."}}