{"id":"W4319962156","doi":"10.1002/cjce.24879","title":"A highly selective carbon paste electrode enhanced by <scp>Cu</scp> ‐encapsulated  poly(amidoamine) for the simultaneous detection of organic and inorganic contaminants","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"","keywords":"Cyclic voltammetry; X-ray photoelectron spectroscopy; Electrode; Graphene; Nitrite; Fourier transform infrared spectroscopy; Scanning electron microscope; Electrochemistry; Dielectric spectroscopy; Carbon paste electrode; Nuclear chemistry; Materials science; Chemistry; Analytical Chemistry (journal); Inorganic chemistry; Nitrate; Chemical engineering; Nanotechnology; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001600859,0.0003653,0.0002424482,0.0002569346,0.0001324876,0.0002523767,0.0005662733,0.0007067143,0.000374759],"category_scores_gemma":[0.0002706775,0.0001782458,0.0001962667,0.0001904671,0.0001763401,0.0003234855,0.0001795275,0.0002980636,0.0002197094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370903,"about_ca_system_score_gemma":0.0001523068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005425119,"about_ca_topic_score_gemma":0.001367693,"domain_scores_codex":[0.9997533,0.00002988401,0.00001497968,0.00007070439,0.0001117786,0.0000192832],"domain_scores_gemma":[0.9998296,0.00004042451,0.00003967447,0.00001322773,0.00005679145,0.00002027236],"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":[0.00001004777,0.0000030853,0.00002754772,0.00001872724,0.000002076566,0.00003109681,0.000001792182,0.00002148963,0.9989441,0.00001339886,0.00001802156,0.0009086796],"study_design_scores_gemma":[0.000003181239,0.00005553746,0.0006903086,0.000001736404,0.000007203882,0.0001310533,0.000003384978,0.001717565,0.9968184,0.000009058816,0.0005585304,0.000003935828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478603,0.003627671,0.04516576,0.0002479565,0.0002271514,0.00005732014,0.0002403452,0.0004666194,0.002107028],"genre_scores_gemma":[0.9748709,0.0007038676,0.02258742,0.00009762905,0.00003437452,0.00002958869,0.000113325,0.0000204522,0.001542471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007067143,"threshold_uncertainty_score":0.00172025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002900353538912961,"score_gpt":0.1611250005908987,"score_spread":0.1582246470519857,"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."}}