{"id":"W3184293788","doi":"10.18280/ts.380327","title":"Frontal Cortex Neuron Type Classification with Deep Learning and Recurrence Plot","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Support vector machine; Naive Bayes classifier; Artificial neural network; Spike (software development); Brain–computer interface; Context (archaeology); Neuroscience; Electroencephalography; Psychology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004946867,0.0005873842,0.0004897808,0.001845801,0.0001791405,0.0005258186,0.0004942045,0.0004411961,0.00119458],"category_scores_gemma":[0.001191968,0.0001840136,0.0008411739,0.0009928434,0.0001700482,0.0005512011,0.0003455385,0.0004065027,0.0004438194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681843,"about_ca_system_score_gemma":0.0003627067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006897604,"about_ca_topic_score_gemma":0.005278231,"domain_scores_codex":[0.999777,0.00003047443,0.00002143754,0.0000679903,0.00004984686,0.00005330801],"domain_scores_gemma":[0.9996257,0.0001004756,0.0000610233,0.00004957707,0.0001389198,0.00002425155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007154311,0.0002526825,0.02657231,0.0001268449,0.0001801116,0.0004553302,0.0001536126,0.1215275,0.05533959,0.00218052,0.004986775,0.7875093],"study_design_scores_gemma":[0.000006440376,0.00005489129,0.007006367,0.000007046619,0.00002665673,0.0001271229,0.00002877178,0.983243,0.007843365,0.001207971,0.0004360653,0.00001212564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4031076,0.0008430547,0.5898187,0.0001678408,0.00007791822,0.0001167403,0.001153657,0.002860783,0.00185363],"genre_scores_gemma":[0.9107119,0.000224007,0.08521937,0.00003261681,0.00003096396,0.00006093785,0.001459097,0.00007465151,0.002186429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006897604,"threshold_uncertainty_score":0.01371491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538514673009767,"score_gpt":0.2638892754236421,"score_spread":0.2285041286935444,"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."}}