{"id":"W4312642302","doi":"10.1109/iscas48785.2022.9937598","title":"A Portable Electrochemical Impedance Spectroscopy Lab-on-chip System for Biosensing Applications","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Software portability; Biosensor; Lab-on-a-chip; System of measurement; Dielectric spectroscopy; Computer science; Chip; Electrical impedance; System on a chip; Biomolecule; Electronic engineering; Computer hardware; Electrical engineering; Materials science; Embedded system; Nanotechnology; Engineering; Physics; Electrochemistry; Microfluidics","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":[0.000309698,0.0002768571,0.0003685036,0.00008434762,0.0003614424,0.0001036583,0.000335353,0.0001022406,0.00005882506],"category_scores_gemma":[0.00004454844,0.0002815241,0.0001655274,0.0002004394,0.00003632113,0.00005917918,0.00005427588,0.0004307637,0.00002337787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005531869,"about_ca_system_score_gemma":0.00003056612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002352873,"about_ca_topic_score_gemma":8.317606e-7,"domain_scores_codex":[0.9977625,0.00003976018,0.0005352584,0.0006380268,0.0006042915,0.0004201882],"domain_scores_gemma":[0.9988973,0.0003385571,0.0001836416,0.0003050306,0.0001037752,0.0001716756],"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":[0.00006946718,0.0001081773,0.00006240938,0.0001893851,0.0001405173,0.00001490724,0.00007405995,0.004002509,0.9603779,0.03397082,0.0009168526,0.00007303579],"study_design_scores_gemma":[0.001488818,0.0002956091,0.00001473313,0.0002013811,0.0001086764,0.0004949044,0.001000525,0.3074842,0.643298,0.0001487394,0.04459719,0.0008672544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8555731,0.0007138072,0.04647319,0.002293655,0.003913982,0.002771679,0.001567395,0.0008763035,0.08581687],"genre_scores_gemma":[0.994579,0.00001432925,0.00002961374,0.0001439389,0.0009701127,0.0005016063,0.0001380911,0.00005237974,0.003570881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170799,"threshold_uncertainty_score":0.9999637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555199436900751,"score_gpt":0.2524197148325754,"score_spread":0.2368677204635679,"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."}}