{"id":"W3038381873","doi":"10.1007/s00604-020-04393-6","title":"Simultaneous determination of heavy metals by an electrochemical method based on a nanocomposite consisting of fluorinated graphene and gold nanocage","year":2020,"lang":"en","type":"article","venue":"Microchimica Acta","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Higher Education Discipline Innovation Project; Department of Education of Hebei Province; National Natural Science Foundation of China","keywords":"Graphene; Materials science; Nanocomposite; Anodic stripping voltammetry; Stripping (fiber); Electrochemistry; Electrode; Square wave; Analytical Chemistry (journal); Metal ions in aqueous solution; Inductively coupled plasma mass spectrometry; Metal; Mass spectrometry; Nuclear chemistry; Chemistry; Nanotechnology; Metallurgy; Chromatography; Composite material; Physical chemistry","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":[0.0004032804,0.0006178822,0.0003623052,0.0005612305,0.0003444454,0.0004099717,0.0007034102,0.001049557,0.0004986511],"category_scores_gemma":[0.0004897388,0.0003533581,0.000287566,0.0003016784,0.0002964736,0.0004355243,0.0003934561,0.0006196432,0.0002373871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003732745,"about_ca_system_score_gemma":0.0002779077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085254,"about_ca_topic_score_gemma":0.00365206,"domain_scores_codex":[0.999369,0.00009213836,0.00003554826,0.0002044713,0.0002436629,0.00005533864],"domain_scores_gemma":[0.9997626,0.00007508218,0.00003216835,0.0000305401,0.00007191685,0.00002775075],"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":[0.00004944933,0.00001485431,0.0001660726,0.00003065428,0.000009330991,0.00002610433,0.00001413232,0.00003573886,0.99684,0.00004856828,0.00002828838,0.002736758],"study_design_scores_gemma":[0.000004665316,0.0000824781,0.0007140844,0.000003295332,0.00002084335,0.0001245589,0.0000145707,0.001913413,0.9964733,0.00003354827,0.0006066051,0.000008660625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8457934,0.004764961,0.1438038,0.0004034248,0.0004538343,0.0001479249,0.0004533351,0.0008552211,0.003324277],"genre_scores_gemma":[0.9057042,0.001032259,0.08808495,0.0001655899,0.0000424155,0.00006825804,0.0002040722,0.00002749227,0.004670689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001085254,"threshold_uncertainty_score":0.002708316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008626257161399519,"score_gpt":0.2493520371515727,"score_spread":0.2407257799901732,"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."}}