{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001782876,0.0003125041,0.0002655993,0.0002590765,0.0001945317,0.0005129043,0.001454735,0.0007383607,0.0026324],"category_scores_gemma":[0.0004216045,0.000213953,0.0001888228,0.0002521793,0.0002149847,0.0006527409,0.0003344383,0.0004444144,0.0009776778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004067243,"about_ca_system_score_gemma":0.0003668009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002879227,"about_ca_topic_score_gemma":0.000816989,"domain_scores_codex":[0.9996942,0.00002398559,0.00001517603,0.00008070877,0.0001604152,0.00002553148],"domain_scores_gemma":[0.9997497,0.00008156885,0.00003732774,0.00001994532,0.00008777649,0.00002365859],"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":[0.0001206527,0.00006104177,0.0005642709,0.0002084669,0.00002410576,0.0001692128,0.00004412956,0.0006021812,0.89985,0.002694588,0.002547487,0.09311375],"study_design_scores_gemma":[0.00005357822,0.0007959618,0.002190823,0.00003214633,0.00008377132,0.00211127,0.00002420821,0.03076157,0.9202237,0.0006698227,0.04300132,0.00005180909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1105879,0.003897088,0.8662559,0.0008437895,0.0009521415,0.0002468717,0.0007247338,0.003477004,0.01301451],"genre_scores_gemma":[0.5321112,0.00106256,0.4490985,0.001163672,0.0002420348,0.0001578856,0.0003709199,0.0001129299,0.0156804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0026324,"threshold_uncertainty_score":0.008806288,"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."}}