{"id":"W1984780235","doi":"10.1039/c4ay01911c","title":"Quantification of rare earth elements using cloud point extraction with diglycolamide and ICP-MS for environmental analysis","year":2014,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rare earth; Extraction (chemistry); Chemistry; Inductively coupled plasma mass spectrometry; Mass spectrometry; Cloud point; Cloud computing; Analytical Chemistry (journal); Environmental chemistry; Computer science; Mineralogy; Chromatography","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":[0.0004797973,0.0008532468,0.0005243071,0.001152524,0.0005310551,0.000624475,0.0006091168,0.0005014724,0.0008070597],"category_scores_gemma":[0.0004736168,0.00030217,0.0004441191,0.0005466411,0.0003597805,0.0004968513,0.0005398346,0.0005805226,0.0007379185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004218032,"about_ca_system_score_gemma":0.000998694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017704,"about_ca_topic_score_gemma":0.008776279,"domain_scores_codex":[0.9992834,0.00005461659,0.0000269986,0.0001925181,0.0003977735,0.00004471266],"domain_scores_gemma":[0.999793,0.00005449887,0.00002659011,0.0000219229,0.0000923169,0.00001163537],"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":[0.00002224669,0.00001770989,0.0006343147,0.00007443353,0.0000157486,0.00002740407,0.0000178277,0.0001639476,0.9831424,0.000233516,0.00007964431,0.01557076],"study_design_scores_gemma":[0.000007693292,0.00009993868,0.002272478,0.00001442247,0.00002236982,0.0002508663,0.00002905928,0.00253957,0.9863403,0.0004589813,0.007947014,0.00001733055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.238238,0.004212052,0.744567,0.0001774209,0.0001848982,0.0006106545,0.002440034,0.001406745,0.008163285],"genre_scores_gemma":[0.2765923,0.006818208,0.7042529,0.0002806229,0.00006871598,0.0004508884,0.002214608,0.0002057758,0.009115933],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002017704,"threshold_uncertainty_score":0.004011869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03833198719040466,"score_gpt":0.3672300185229206,"score_spread":0.328898031332516,"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."}}