{"id":"W2911758002","doi":"10.1016/j.jenvrad.2019.02.003","title":"A new rapid protocol for 226Ra separation and preconcentration in natural water samples using molecular recognition technology for ICP-MS analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Radioactivity","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Inductively coupled plasma mass spectrometry; Chemistry; Chromatography; Elution; Mass spectrometry; Detection limit; Radium; Sorption; Analytical Chemistry (journal); Radiochemistry; Adsorption","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032629,0.0001397516,0.0002676061,0.0002022147,0.0000559141,0.0000276854,0.00007590045,0.00009517914,0.0005419137],"category_scores_gemma":[0.00001570431,0.0001149412,0.0001461685,0.0001419604,0.00006251739,0.0007616222,0.00001683831,0.0001325085,0.000003843952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004493681,"about_ca_system_score_gemma":0.00001244213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002027625,"about_ca_topic_score_gemma":0.00004439734,"domain_scores_codex":[0.9989914,0.00006456879,0.0003270021,0.0002401062,0.0001839771,0.0001929251],"domain_scores_gemma":[0.9995909,0.00006387889,0.0001860375,0.00008904918,0.00000690053,0.00006317233],"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":[0.0005622517,0.0001694796,0.06049825,0.00001602742,0.0001573531,0.000001702808,0.0002359023,0.00165884,0.8755417,0.000009281554,0.00001084567,0.06113833],"study_design_scores_gemma":[0.007268147,0.0009607964,0.2563654,0.00003828133,0.0004084106,0.00007094469,0.00019386,0.03349601,0.6972955,0.001371914,0.002106728,0.0004239812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162753,0.00001285482,0.06696139,0.0001340762,0.00005193898,0.016504,0.00001537553,0.000004439973,0.00004067301],"genre_scores_gemma":[0.9889674,0.000004545352,0.009234576,0.00003311442,0.00002672397,0.001675025,0.00001430131,0.00001172886,0.00003258895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1958671,"threshold_uncertainty_score":0.5933575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553211581720218,"score_gpt":0.2789686514416477,"score_spread":0.2634365356244455,"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."}}