{"id":"W2473028876","doi":"10.1007/s10967-015-3935-6","title":"Rapid determination of 90Sr from 90Y in seawater","year":2015,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada; Canadian Nuclear Laboratories","funders":"Canadian Nuclear Laboratories; World Health Organization","keywords":"Seawater; Liquid scintillation counting; Precipitation; Chromatography; Extraction (chemistry); Scintillation counter; Chemistry; Analytical Chemistry (journal); Meteorology; Physics; Optics; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002020652,0.00006154514,0.000164038,0.00002049123,0.000009953689,0.00001027376,0.00008773647,0.00005439983,0.0006195384],"category_scores_gemma":[0.00005298319,0.00004856082,0.000050876,0.00007204102,0.0001270464,0.0001507403,0.00001904766,0.000131331,0.00001068477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007785678,"about_ca_system_score_gemma":0.000009098929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002585929,"about_ca_topic_score_gemma":0.000002940528,"domain_scores_codex":[0.9993444,0.00002128541,0.000246283,0.00008435678,0.0002249633,0.00007870331],"domain_scores_gemma":[0.9996727,0.00003580595,0.00007476284,0.0000570358,0.00002115546,0.0001386027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00181701,0.001603347,0.2251675,0.0001399506,0.0002653813,0.0006724064,0.007361719,0.0001637464,0.4186146,0.0002068532,0.007341856,0.3366456],"study_design_scores_gemma":[0.01520924,0.0009150652,0.5958002,0.0003119627,0.0004817352,0.0008315643,0.003267984,0.06314329,0.1994101,0.006050699,0.1134839,0.001094317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925812,0.00007927695,0.0001621571,0.0003982348,0.00002099725,0.0000179849,0.000001298797,0.000004067313,0.006734713],"genre_scores_gemma":[0.9991664,0.00004320998,0.0005849768,0.00004978227,0.00003546491,1.20991e-7,4.346614e-7,0.000008576872,0.0001110211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3706326,"threshold_uncertainty_score":0.6783511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125990631823249,"score_gpt":0.2110026669431486,"score_spread":0.1984036037608237,"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."}}