{"id":"W2126488336","doi":"10.1109/tnsre.2009.2018103","title":"An Ultra Low-Power CMOS Automatic Action Potential Detector","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Euroscience; CMC Microsystems","keywords":"Subthreshold conduction; CMOS; Computer science; Detector; Electronic engineering; Electrical engineering; Engineering; Transistor; Voltage; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001188648,0.0002496057,0.0002109719,0.000291588,0.0002483156,0.0001605486,0.0001356786,0.00008906548,0.00001052864],"category_scores_gemma":[0.00005066106,0.0002275495,0.00009674019,0.0004031034,0.00005064513,0.0008620105,4.18163e-7,0.000280843,0.00000950816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005667956,"about_ca_system_score_gemma":0.000009915257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007940679,"about_ca_topic_score_gemma":5.6746e-7,"domain_scores_codex":[0.9984232,0.00007727474,0.0003488119,0.0004986978,0.0003207696,0.0003312998],"domain_scores_gemma":[0.9992196,0.0002464989,0.00005999635,0.0002559989,0.00002620753,0.0001916923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009608125,0.00005425753,7.287079e-7,0.00004599299,0.000001055358,0.000005404089,0.0001160963,0.3403072,0.6562338,0.00004810876,0.000001879293,0.00317578],"study_design_scores_gemma":[0.0002996645,0.0009207249,0.000888959,0.00007777372,0.000009917135,0.0001188339,0.0000785374,0.6858841,0.311405,0.000006279769,0.00004278874,0.0002673978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238274,0.00001273041,0.07309148,0.0001586556,0.001925245,0.000417938,0.000009110375,0.0005404693,0.00001694622],"genre_scores_gemma":[0.9996051,0.00001395571,0.0001156391,0.00008866936,0.00005991032,0.00004467104,3.238316e-7,0.00002760568,0.00004407657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3455769,"threshold_uncertainty_score":0.9279201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063622649612126,"score_gpt":0.2408718229177492,"score_spread":0.230235596421628,"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."}}