{"id":"W4392857186","doi":"10.1371/journal.pcbi.1011846","title":"Impact on backpropagation of the spatial heterogeneity of sodium channel kinetics in the axon initial segment","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Antidromic; Orthodromic; Axon; Sodium channel; Gating; Stimulation; Neuroscience; Backpropagation; Action potential; Chemistry; Biophysics; Electrophysiology; Biology; Sodium; Computer science; Artificial neural network; Artificial intelligence","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":[0.0002234519,0.0004451664,0.0003339753,0.0002525546,0.0002727279,0.0005878838,0.0006499648,0.0007211503,0.001349079],"category_scores_gemma":[0.001726263,0.0001914569,0.0004979966,0.0001299922,0.0004557219,0.0006994595,0.0005472179,0.0005562182,0.0001767435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006702706,"about_ca_system_score_gemma":0.0006066423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759494,"about_ca_topic_score_gemma":0.002012647,"domain_scores_codex":[0.9998842,0.0000160673,0.000006050643,0.00001891841,0.00002676442,0.00004783439],"domain_scores_gemma":[0.999428,0.0003018802,0.00007221093,0.00004236366,0.00006438646,0.00009122433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006108789,0.0002518285,0.004694307,0.0002150264,0.00007436913,0.0009074317,0.0001748986,0.8150252,0.1670786,0.004089715,0.0004030635,0.006474608],"study_design_scores_gemma":[0.00005957794,0.0003319295,0.002634942,0.00002206485,0.00005882782,0.0001584149,0.0001180376,0.9667193,0.02793047,0.001468897,0.0004677025,0.00002993996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858512,0.0002356192,0.01041749,0.0002169922,0.00003425163,0.00001279383,0.00008740455,0.0001755901,0.002968746],"genre_scores_gemma":[0.9990717,0.00007521965,0.0006100356,0.00002649072,0.000001959691,0.000004818519,0.00001622621,0.00001426991,0.0001793706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003759494,"threshold_uncertainty_score":0.007475257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0599790993440403,"score_gpt":0.3227198098039585,"score_spread":0.2627407104599182,"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."}}