{"id":"W2042595775","doi":"10.1109/biocas.2007.4463300","title":"Long-term monitoring of electrochemical parameters from stimulated neural tissues","year":2007,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"CMOS; Electrical impedance; Telemetry; Materials science; Dielectric spectroscopy; Electronic engineering; Integrated circuit; Cyclic voltammetry; Electrical engineering; Electrode; Optoelectronics; Computer science; Electrochemistry; Engineering; Chemistry; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00006637068,0.0001428671,0.0001628005,0.00009155707,0.00004665113,0.00002833801,0.0002983561,0.00005058067,0.00002465263],"category_scores_gemma":[0.0002158303,0.00012555,0.00005785928,0.0003682179,0.00008735661,0.0002191366,0.00005795457,0.0001776353,0.00001178368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001881583,"about_ca_system_score_gemma":0.000006601721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001786836,"about_ca_topic_score_gemma":7.790668e-7,"domain_scores_codex":[0.99867,0.00001599465,0.0002539407,0.0003654913,0.0002900309,0.0004045194],"domain_scores_gemma":[0.9992345,0.0003762093,0.00005413193,0.0002032397,0.00001419171,0.0001177256],"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":[0.00002921993,0.0000261042,0.01255036,0.000004214731,0.000001082935,0.0000538315,0.00003039156,0.00007924862,0.9851277,0.0000205019,0.00000173464,0.002075613],"study_design_scores_gemma":[0.0001631153,0.00007776454,0.03132832,0.00001362008,0.000004985605,0.00001227931,0.000004218084,0.001735064,0.966512,0.00001889971,0.000004201909,0.0001255269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976385,0.00002874229,0.001504639,0.00002227737,0.0004005164,0.00009362312,0.000001400789,0.0001581592,0.0001520999],"genre_scores_gemma":[0.9992481,0.00001853627,0.0004693181,0.00008911127,0.00005880588,0.000001325895,6.705762e-7,0.00001593101,0.0000981381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01877796,"threshold_uncertainty_score":0.5119779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033006294811359,"score_gpt":0.3039060350731035,"score_spread":0.26357597212499,"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."}}