{"id":"W2132923457","doi":"10.1039/c5ja00231a","title":"Accurate determination of lithium isotope ratios by MC-ICP-MS without strict matrix-matching by using a novel washing method","year":2015,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Lithium (medication); Matrix (chemical analysis); Isotope; Inductively coupled plasma mass spectrometry; Matching (statistics); Chemistry; Analytical Chemistry (journal); Isotopes of lithium; Chromatography; Radiochemistry; Mathematics; Mass spectrometry; Ion; Statistics; Physics; Organic chemistry; Ion exchange; Nuclear physics","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":[0.001173624,0.001115054,0.0008548118,0.0007770508,0.000547575,0.0008701552,0.001429632,0.001020996,0.001384799],"category_scores_gemma":[0.001910127,0.0006291863,0.0003931577,0.0004968143,0.0006079221,0.0008143065,0.0006704473,0.000903439,0.00149166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709808,"about_ca_system_score_gemma":0.001033226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601081,"about_ca_topic_score_gemma":0.005474895,"domain_scores_codex":[0.9987036,0.0001275713,0.00009279627,0.0003392342,0.0006639435,0.00007289716],"domain_scores_gemma":[0.9994735,0.0001472167,0.00004263382,0.0001042234,0.0002126067,0.00001986893],"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":[0.00003143005,0.00002080818,0.0002481973,0.00004948537,0.000009820747,0.00002064483,0.00001752099,0.000054835,0.9893986,0.0001295441,0.0002502979,0.009768914],"study_design_scores_gemma":[0.000007449678,0.00005572008,0.0007979216,0.000005913313,0.00002154012,0.0001572547,0.00001314111,0.002577894,0.9924555,0.0001117394,0.003779245,0.00001667686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2259523,0.003388887,0.7546527,0.0005934088,0.000518427,0.0004419805,0.00156502,0.006282405,0.006604746],"genre_scores_gemma":[0.3092074,0.002210761,0.6792561,0.000390855,0.00009992093,0.0004720271,0.0012259,0.0006098298,0.006527291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001601081,"threshold_uncertainty_score":0.00620681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179849489851919,"score_gpt":0.3440119619389503,"score_spread":0.3122134670404312,"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."}}