{"id":"W1976315599","doi":"10.1007/s10967-014-3540-0","title":"Anticoincidence counting further improves detection limits of short-lived products by pseudo-cyclic instrumental neutron activation analysis","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":"Dalhousie University; Health Canada","funders":"Faculty of Graduate Studies, Dalhousie University","keywords":"Neutron activation analysis; Radionuclide; Radiochemistry; Systematic error; Detection limit; Chemistry; Neutron activation; Neutron; Chromatography; Physics; Nuclear physics; Mathematics; Statistics","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":[0.00289567,0.001409184,0.0006425685,0.001773609,0.0007618949,0.001470496,0.001828803,0.001221679,0.003172521],"category_scores_gemma":[0.004626307,0.00061768,0.0006557145,0.001329967,0.001001302,0.001682492,0.001587102,0.001318112,0.0008956925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537678,"about_ca_system_score_gemma":0.001173064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008225576,"about_ca_topic_score_gemma":0.002814096,"domain_scores_codex":[0.9980406,0.0005406069,0.0001156344,0.0005597568,0.0005353687,0.0002080619],"domain_scores_gemma":[0.9949839,0.00195016,0.0006879522,0.00111784,0.001069014,0.0001910521],"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":[0.001904669,0.0002535288,0.01275625,0.0002876729,0.0001160437,0.000332308,0.0001276663,0.002489094,0.8813286,0.005655047,0.0008610237,0.0938881],"study_design_scores_gemma":[0.00004261413,0.000344131,0.004389699,0.00003848823,0.0001862592,0.0009276185,0.0000334177,0.03974756,0.9461864,0.002463588,0.005568913,0.00007127511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6811139,0.002154121,0.3018266,0.0003882352,0.0002058962,0.000106943,0.000590415,0.002134155,0.01147974],"genre_scores_gemma":[0.7718281,0.0007433683,0.2226875,0.0002806489,0.00008062779,0.00007830357,0.0009154271,0.0004065024,0.002979464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003172521,"threshold_uncertainty_score":0.01531392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006645127770188219,"score_gpt":0.2220932037023441,"score_spread":0.2154480759321559,"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."}}