{"id":"W2160248983","doi":"10.1162/neco_a_00633","title":"Influence of External Inputs and Asymmetry of Connections on Information-Geometric Measures Involving Up to Ten Neuronal Interactions","year":2014,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Alberta Innovates - Health Solutions; Alberta Innovates - Technology Futures","keywords":"Pairwise comparison; Asymmetry; Neuron; Measure (data warehouse); Property (philosophy); Artificial neural network; Relation (database); Estimator; Biological system; Mathematics; Nonlinear system; Computer science; Neuroscience; Statistics; Physics; Artificial intelligence; Psychology; Biology; Data mining","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":[0.001237236,0.0006414968,0.0005139862,0.0008615449,0.0004343207,0.0006464309,0.0004871155,0.0004008764,0.00070784],"category_scores_gemma":[0.01224277,0.0002556645,0.0006707259,0.000386394,0.001198249,0.001117965,0.001271185,0.0007265862,0.00007832808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006688324,"about_ca_system_score_gemma":0.0004035787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000871496,"about_ca_topic_score_gemma":0.0007758843,"domain_scores_codex":[0.9992059,0.0002526565,0.00005318876,0.0001253229,0.000246658,0.0001161813],"domain_scores_gemma":[0.9928396,0.00509027,0.0007302118,0.0005505629,0.0004263775,0.0003628746],"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":[0.000528306,0.0001222646,0.01854798,0.000365995,0.0002676453,0.001397751,0.0003604449,0.795304,0.11516,0.01864404,0.0004185734,0.04888302],"study_design_scores_gemma":[0.00002016776,0.0002896987,0.02124271,0.00003468597,0.0001121402,0.0004023543,0.0001256702,0.926393,0.03760878,0.01328674,0.000420173,0.00006383091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455696,0.0003441168,0.05065958,0.0001200328,0.00002256764,0.00002306293,0.00004724681,0.0001240619,0.003089682],"genre_scores_gemma":[0.9971757,0.00006345594,0.002626084,0.000009312713,0.00000387768,0.000009280627,0.00001949323,0.00001131755,0.00008142342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001237236,"threshold_uncertainty_score":0.006543159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353656341037903,"score_gpt":0.2685366009475707,"score_spread":0.2450000375371917,"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."}}