{"id":"W4327954402","doi":"10.3390/s23063271","title":"Disposable Sensor Chips with Molecularly Imprinted Carbon Paste Electrodes for Monitoring Anti-Epileptic Drugs","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Eisai Canada; Eisai","keywords":"Molecularly imprinted polymer; Differential pulse voltammetry; Methacrylic acid; Materials science; Ethylene glycol dimethacrylate; Ethylene glycol; Levetiracetam; Cyclic voltammetry; Nuclear chemistry; Chemical engineering; Chromatography; Monomer; Electrode; Chemistry; Polymer; Electrochemistry; Organic chemistry; Medicine; Epilepsy; Selectivity; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004051346,0.0007968848,0.0004111293,0.0005647328,0.0001225364,0.0003282167,0.001229561,0.001162016,0.001024119],"category_scores_gemma":[0.0008589873,0.0004258235,0.0004323252,0.0004542558,0.0002310363,0.000631321,0.0002442191,0.0006659758,0.0008634717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162849,"about_ca_system_score_gemma":0.0001983502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003030757,"about_ca_topic_score_gemma":0.0005945213,"domain_scores_codex":[0.9992163,0.00007787449,0.00005494386,0.0002178413,0.0003897074,0.00004324838],"domain_scores_gemma":[0.9994888,0.0001991774,0.00009905121,0.00005122327,0.0001328209,0.00002885173],"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":[0.000034769,0.00003445765,0.0001887851,0.0001277964,0.00001963995,0.0001023594,0.00001122093,0.0001759597,0.9879099,0.0001194801,0.0002367532,0.01103882],"study_design_scores_gemma":[0.000007402005,0.0001490962,0.001310866,0.000006358676,0.00002667823,0.0002713027,0.000007074415,0.002563483,0.9926905,0.00004240122,0.002911156,0.00001367754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4764021,0.02123097,0.4825133,0.001179201,0.001465786,0.0009434635,0.002525204,0.005563503,0.008176389],"genre_scores_gemma":[0.4878808,0.005756874,0.4942099,0.0009442217,0.0001798863,0.0007887676,0.001440883,0.0001529075,0.008645821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001229561,"threshold_uncertainty_score":0.003426075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005605259316355236,"score_gpt":0.1996026732652211,"score_spread":0.1939974139488658,"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."}}