{"id":"W1974268410","doi":"10.1016/j.talanta.2009.05.030","title":"High-capacity chitosan-based chelating resin for on-line collection of transition and rare-earth metals prior to inductively coupled plasma-atomic emission spectrometry measurement","year":2009,"lang":"en","type":"article","venue":"Talanta","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; National Research Council Canada","keywords":"Chemistry; Moiety; Chelation; Chelating resin; Chitosan; Inductively coupled plasma mass spectrometry; Adsorption; Inductively coupled plasma; Transition metal; Nuclear chemistry; Inorganic chemistry; Mass spectrometry; Chromatography; Metal ions in aqueous solution; Organic chemistry; Metal","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006021473,0.0002504617,0.0004572535,0.0001205878,0.0001360727,0.00002077071,0.0001039428,0.0001724585,0.00009632538],"category_scores_gemma":[0.0006401853,0.0002379947,0.00009439235,0.0003043184,0.00004196963,0.00005033563,0.00001301241,0.0002164079,0.000001325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052845,"about_ca_system_score_gemma":0.0001295827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001451087,"about_ca_topic_score_gemma":0.000003022745,"domain_scores_codex":[0.9982263,0.0000412082,0.0004863368,0.0004519484,0.0005198289,0.0002744025],"domain_scores_gemma":[0.9990967,0.0001987078,0.0002032127,0.000213561,0.0001153862,0.0001724411],"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":[0.001082654,0.0001863477,0.00006772971,0.0001939976,0.00007035795,0.000001820644,0.0001645058,0.0001554831,0.9971682,0.00003445066,0.00002443457,0.0008499743],"study_design_scores_gemma":[0.001922928,0.000242468,0.002524563,0.0002773729,0.00009944005,0.000007415176,0.00007114459,0.007823896,0.9864948,0.0002686445,0.00001671841,0.0002506526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752888,0.00001764598,0.02318111,0.0005174789,0.00003103065,0.0003277546,0.0000509958,0.00006083465,0.0005243282],"genre_scores_gemma":[0.9610535,0.000004145366,0.03859267,0.00007426376,0.00009097086,0.00002198065,0.00004366341,0.00002020861,0.0000986157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01541156,"threshold_uncertainty_score":0.9705142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05526964247757802,"score_gpt":0.2880647786653912,"score_spread":0.2327951361878131,"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."}}