{"id":"W2085637100","doi":"10.1016/j.apradiso.2010.08.001","title":"Radiostrontium and radium analysis in low-level environmental samples following a multi-stage semi-automated chromatographic sequential separation","year":2010,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Health Canada","funders":"","keywords":"Chromatography; Chemistry; Strontium; Strontium-90; Radiochemistry; Liquid scintillation counting; Radium; Matrix (chemical analysis); Analyte; Ion chromatography; Aqueous solution; Isotopes of strontium; Detection limit; Sample preparation; Radionuclide","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":[0.0004040011,0.0005247201,0.0004231326,0.0004728779,0.0004813789,0.0004337919,0.0006737731,0.0004045679,0.001054272],"category_scores_gemma":[0.0005548865,0.0003378079,0.0002642812,0.0004012993,0.0004411573,0.0003049771,0.0003259842,0.0006238002,0.0008011169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152971,"about_ca_system_score_gemma":0.001206955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741261,"about_ca_topic_score_gemma":0.00711115,"domain_scores_codex":[0.9996198,0.0000566164,0.00001619144,0.0001290329,0.0001305987,0.00004772592],"domain_scores_gemma":[0.9997401,0.00006989219,0.00002300988,0.00002834206,0.0001111701,0.00002750515],"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":[0.0002533818,0.00004003603,0.0006242371,0.00003874453,0.00001663927,0.00003143936,0.00004538641,0.0001434444,0.9900362,0.000121482,0.00007981387,0.00856907],"study_design_scores_gemma":[0.0000146378,0.0002434771,0.005765882,0.000006458355,0.00004113263,0.0001926672,0.00003519119,0.00190706,0.9894043,0.0001278571,0.002243945,0.0000174434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8474493,0.001750187,0.1442086,0.0001417222,0.0001113042,0.000332212,0.000791436,0.001127165,0.004088174],"genre_scores_gemma":[0.8161412,0.001760832,0.163455,0.0002418236,0.00005967127,0.0005234376,0.001561495,0.0002338233,0.0160228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003741261,"threshold_uncertainty_score":0.007438958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216881283772728,"score_gpt":0.2539171661804202,"score_spread":0.2417483533426929,"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."}}