{"id":"W2085142406","doi":"10.1039/c4ay02034k","title":"Determination of meloxicam in plasma samples using a highly selective and sensitive voltammetric sensor based on carbon paste electrodes modified by molecularly imprinted polymer nanoparticle–multiwall carbon nanotubes","year":2015,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo","funders":"","keywords":"Carbon nanotube; Meloxicam; Molecularly imprinted polymer; Materials science; Carbon Nanoparticles; Electrode; Nanoparticle; Carbon fibers; Nanotechnology; Polymer; Chemical engineering; Chemistry; Composite number; Selectivity; Composite material; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005354877,0.0003188002,0.0005663086,0.0004131632,0.00002317547,0.00002622169,0.00008158252,0.0002314559,0.000001132398],"category_scores_gemma":[0.0008562547,0.000291489,0.00008364787,0.001126593,0.0001021813,0.00004850082,0.00002585725,0.0003129235,3.64202e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538433,"about_ca_system_score_gemma":0.00003784754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009037126,"about_ca_topic_score_gemma":0.00002371705,"domain_scores_codex":[0.9978196,0.000456161,0.0004621878,0.0004214945,0.0003134185,0.0005271349],"domain_scores_gemma":[0.9984656,0.0008747533,0.00007675641,0.0001860308,0.0001738447,0.0002230404],"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":[0.0002300884,0.00008390833,0.0003525221,0.00002717232,0.00005203675,0.00001142369,0.00009681957,0.001448028,0.9920865,0.00006007374,0.00000117844,0.005550246],"study_design_scores_gemma":[0.0004568489,0.0001996241,0.0001341832,0.00002129601,0.00005812596,0.000004143607,0.00002650353,0.4930203,0.5058672,0.00004240571,0.000001961019,0.0001673967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846251,0.0001515725,0.0144252,0.00004965051,0.00002823067,0.0002095698,0.000009108165,0.00007443719,0.0004271184],"genre_scores_gemma":[0.9572269,0.000008485707,0.04263216,0.00003691525,0.00002396094,0.000006560957,0.00000515511,0.00004281055,0.00001706321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4915723,"threshold_uncertainty_score":0.9999537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443491018943984,"score_gpt":0.2880448710314322,"score_spread":0.2636099608419923,"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."}}