{"id":"W2800556855","doi":"10.1039/c8ja00060c","title":"Rapid, versatile and sensitive method for the quantification of radium in environmental samples through cationic extraction and inductively coupled plasma mass spectrometry","year":2018,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Mitacs","keywords":"Inductively coupled plasma mass spectrometry; Detection limit; Mass spectrometry; Extraction (chemistry); Radium; Chemistry; Inductively coupled plasma; Cationic polymerization; Chromatography; Radiochemistry; Analytical Chemistry (journal); Plasma","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":[0.001771126,0.001457468,0.0009905848,0.001743912,0.0007464535,0.0006494784,0.00147077,0.001452139,0.001263698],"category_scores_gemma":[0.001242178,0.0007475716,0.0006370671,0.0007638213,0.0007714839,0.0008271088,0.001578861,0.001442644,0.001353254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006501364,"about_ca_system_score_gemma":0.001053046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006583724,"about_ca_topic_score_gemma":0.001714619,"domain_scores_codex":[0.9972253,0.0003595,0.0001299688,0.0006073345,0.001534413,0.0001436581],"domain_scores_gemma":[0.9993854,0.0001322786,0.00009498776,0.00006792141,0.0002701731,0.00004931887],"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":[0.00006222693,0.00002298939,0.0004206999,0.000178708,0.00002653327,0.00007979214,0.00003441991,0.0001527646,0.9822338,0.0002047682,0.0003435618,0.01623972],"study_design_scores_gemma":[0.00003082205,0.0002829414,0.001844587,0.00002376851,0.00005474163,0.001570927,0.00004993198,0.002351783,0.9789178,0.0003787693,0.0144173,0.00007674904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.189578,0.01976913,0.7771275,0.0006396671,0.0004340317,0.0009782437,0.001617924,0.0046581,0.005197499],"genre_scores_gemma":[0.3597833,0.006707653,0.6223388,0.0005119285,0.0001375774,0.0009621432,0.001008454,0.0002112993,0.008338851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001771126,"threshold_uncertainty_score":0.009366691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279250189541222,"score_gpt":0.2864891752005453,"score_spread":0.2636966733051331,"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."}}