{"id":"W2129901671","doi":"10.1109/iscas.2009.5118228","title":"A fully differential CMOS potentiostat","year":2009,"lang":"en","type":"article","venue":"","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Potentiostat; CMOS; Electronic engineering; Dynamic range; Electrical engineering; Materials science; Quantization (signal processing); Electrode; Computer science; Optoelectronics; Electrochemistry; Engineering; 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":[0.0004279932,0.0007926826,0.0009294513,0.0004196707,0.0004662953,0.0009422002,0.002466107,0.001022307,0.01340017],"category_scores_gemma":[0.001123532,0.0006520064,0.0003835531,0.0004885466,0.0003303631,0.0008558391,0.001033784,0.00121007,0.007498381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004257321,"about_ca_system_score_gemma":0.0004617322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003490956,"about_ca_topic_score_gemma":0.000446642,"domain_scores_codex":[0.9982829,0.0001460602,0.0001046878,0.0004128307,0.000957642,0.00009585205],"domain_scores_gemma":[0.9993913,0.0001032116,0.00003655664,0.0001323872,0.0003027522,0.00003378387],"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":[0.0004186536,0.0001108448,0.0005647697,0.000995127,0.00006428728,0.0004824609,0.0001393823,0.003140327,0.761171,0.00883314,0.02721616,0.1968639],"study_design_scores_gemma":[0.0001223176,0.000773591,0.001588682,0.0001057914,0.0001106096,0.003424752,0.00004870824,0.03565253,0.6369722,0.002964649,0.3180991,0.0001370315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03440583,0.003475229,0.8845463,0.001262691,0.002065346,0.001002237,0.004114147,0.02248199,0.04664625],"genre_scores_gemma":[0.3338304,0.002734327,0.6058467,0.00160551,0.0006070235,0.001197,0.002527568,0.0006455495,0.05100589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01340017,"threshold_uncertainty_score":0.044828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007564726597387625,"score_gpt":0.2161010477364985,"score_spread":0.2085363211391109,"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."}}