{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003768843,0.0009420782,0.000681561,0.0007323983,0.0006083017,0.0004696102,0.0009878635,0.001590094,0.000783696],"category_scores_gemma":[0.000664448,0.000659472,0.0004088559,0.0007612652,0.0002876768,0.0003657634,0.0004719547,0.0008461294,0.0003866428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005249295,"about_ca_system_score_gemma":0.0004827241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002458145,"about_ca_topic_score_gemma":0.006082084,"domain_scores_codex":[0.9990242,0.0001243843,0.00007643743,0.0003535007,0.0003331713,0.0000882369],"domain_scores_gemma":[0.9995666,0.0001206889,0.00004127949,0.00004650477,0.0001682826,0.00005671952],"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":[0.0001543627,0.0000534623,0.0007406236,0.00009195058,0.00003132482,0.00009510284,0.00005001279,0.0001076063,0.9904442,0.00006844156,0.0001787871,0.007984076],"study_design_scores_gemma":[0.00001905992,0.0001617236,0.002325507,0.000007755214,0.00003717908,0.0002820082,0.00003561714,0.002761745,0.9930113,0.00007632706,0.001265935,0.00001586825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8764394,0.006511448,0.1040333,0.0007547144,0.0008929447,0.0003786095,0.001857526,0.002079047,0.007052977],"genre_scores_gemma":[0.9116337,0.002106528,0.07751192,0.0005027113,0.00009802193,0.0001957553,0.0007377822,0.00005575394,0.007157753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002458145,"threshold_uncertainty_score":0.0048877,"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."}}