{"id":"W2101384347","doi":"10.3389/fnins.2015.00371","title":"A physical action potential generator: design, implementation and evaluation","year":2015,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Vetenskapsrådet; Linköpings Universitet; Ottawa Hospital Research Institute; University of Ottawa","keywords":"Computer science; Electrode; Generator (circuit theory); Action (physics); Node (physics); Noise (video); Amplitude; Biomedical engineering; Biological system; Control theory (sociology); Simulation; Physics; Acoustics; Artificial intelligence; Engineering; Power (physics); Optics","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":[0.001238692,0.0005257169,0.0004023985,0.0003799686,0.0001682679,0.0007550907,0.002429017,0.0008286743,0.004991559],"category_scores_gemma":[0.00190751,0.000309561,0.000244836,0.0001986642,0.0004039865,0.000837348,0.0006174021,0.0004979,0.001428161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003564915,"about_ca_system_score_gemma":0.0005266603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002890947,"about_ca_topic_score_gemma":0.0002404894,"domain_scores_codex":[0.9993858,0.00008269237,0.00003550976,0.0001004172,0.0003429468,0.00005257244],"domain_scores_gemma":[0.9991097,0.0002011431,0.00007975614,0.0001175531,0.0003337936,0.0001579426],"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":[0.0008273752,0.0006673231,0.00359053,0.002361313,0.000146789,0.00111898,0.0002908779,0.02326412,0.7056917,0.007924684,0.003933508,0.2501828],"study_design_scores_gemma":[0.0004689648,0.009439499,0.005438198,0.0001891334,0.0002048863,0.003878306,0.0001142516,0.2681377,0.6419047,0.00204051,0.06805557,0.0001283768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1316226,0.001214096,0.8505359,0.0004861304,0.0003011876,0.00152666,0.0003174181,0.006161766,0.007834117],"genre_scores_gemma":[0.5504895,0.0009874556,0.4375948,0.0002908012,0.00006561382,0.001188492,0.0004225301,0.0006118608,0.008348854],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004991559,"threshold_uncertainty_score":0.01669842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131389075093368,"score_gpt":0.3645215540999769,"score_spread":0.2331324790066089,"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."}}