{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007436474,0.0001165799,0.0001045041,0.00003278673,0.0001386488,0.0001133517,0.0001022527,0.00002623778,0.00020909],"category_scores_gemma":[0.00004997957,0.00009891243,0.00001728511,0.0001481621,0.00007541688,0.0001526136,0.0000447138,0.0001672158,0.00002467748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001745762,"about_ca_system_score_gemma":0.00003724335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002941064,"about_ca_topic_score_gemma":0.00001636382,"domain_scores_codex":[0.9989266,0.0001238129,0.0001459413,0.0004047221,0.0002196318,0.0001792454],"domain_scores_gemma":[0.9995906,0.0001459446,0.0000704286,0.00008271197,0.00004504044,0.00006532585],"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":[0.0001209647,0.0001419751,0.007107076,0.00003072078,0.000008797447,0.00008206725,0.0008563506,0.0001388412,0.9553993,0.0009801843,0.0001782034,0.0349555],"study_design_scores_gemma":[0.003024407,0.003735878,0.2879728,0.0003326041,0.00008593209,0.0005991096,0.001492342,0.127595,0.5371909,0.0002614297,0.03662589,0.001083723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938513,0.0001224569,0.00398877,0.0002759211,0.0001550526,0.0001100304,0.000002718852,0.00007462724,0.00141909],"genre_scores_gemma":[0.9988146,0.00005974129,0.0004410649,0.0003037497,0.00006558141,0.000006155748,0.000007453821,0.00001181349,0.0002898131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4182085,"threshold_uncertainty_score":0.4033532,"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."}}