{"id":"W2909249318","doi":"10.1007/s00604-018-3216-5","title":"Simultaneous voltammetric determination of cadmium(II), lead(II), mercury(II), zinc(II), and copper(II) using a glassy carbon electrode modified with magnetite (Fe3O4) nanoparticles and fluorinated multiwalled carbon nanotubes","year":2019,"lang":"en","type":"article","venue":"Microchimica Acta","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Zinc; Analytical Chemistry (journal); Electrochemistry; Metal ions in aqueous solution; Copper; Nuclear chemistry; Glassy carbon; Cadmium; Materials science; Detection limit; Chemistry; Electrode; Inorganic chemistry; Cyclic voltammetry; Metal; Metallurgy; Chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001584874,0.0005892051,0.0008538005,0.0002921726,0.000658192,0.00005964821,0.0003589044,0.0003538531,0.00002894202],"category_scores_gemma":[0.0001189772,0.0005325779,0.0001260012,0.0008778386,0.0002067837,0.0001403479,0.0004891637,0.000445115,9.537437e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008154,"about_ca_system_score_gemma":0.0001337572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006828702,"about_ca_topic_score_gemma":0.0002344088,"domain_scores_codex":[0.9970146,0.00004784243,0.0007424632,0.001020693,0.0004060659,0.0007682958],"domain_scores_gemma":[0.9982583,0.0002075116,0.0004321879,0.0006174227,0.0002701374,0.0002144507],"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":[0.0002980227,0.0004687761,0.0005438449,0.0001900499,0.0001423538,0.000004830457,0.0008232823,0.00004599506,0.9961889,0.00001769566,0.00001618142,0.001260047],"study_design_scores_gemma":[0.001682324,0.0005732568,0.00006568008,0.0001270393,0.0004283135,0.0000770848,0.0001282615,0.1136046,0.8822113,0.00003696784,0.0004770618,0.000588084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975905,0.001124478,0.00001160481,0.0003123136,0.0000173581,0.0004101285,0.00004384972,0.0001150717,0.0003746577],"genre_scores_gemma":[0.9964597,0.0002652295,0.001206491,0.0000494031,0.00005925544,0.00004511049,0.00009606808,0.00008199494,0.001736801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1139776,"threshold_uncertainty_score":0.9997126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006588915851118994,"score_gpt":0.2130777837073517,"score_spread":0.2064888678562327,"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."}}