{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351394,0.0001067088,0.0001461625,0.0006741962,0.0001236912,0.00004953848,0.00009957721,0.0000290132,0.000002579787],"category_scores_gemma":[0.001341545,0.0001004331,0.00003848864,0.000843916,0.00005095487,0.0006410948,0.00005645001,0.0001526508,0.000007308177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000236129,"about_ca_system_score_gemma":0.00001316739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004566629,"about_ca_topic_score_gemma":0.000007481411,"domain_scores_codex":[0.9989043,0.0001147383,0.0003566235,0.0001836021,0.0003237288,0.0001170358],"domain_scores_gemma":[0.9987204,0.000721384,0.0002416217,0.00009954266,0.0001487512,0.00006832164],"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":[0.0001186596,0.00005147544,0.004110348,0.00006506171,0.000003820188,3.765475e-7,0.0003127798,0.4783374,0.4646714,0.005304255,0.00007495239,0.04694949],"study_design_scores_gemma":[0.0006645272,0.001191729,0.4048527,0.000125469,0.00001868418,0.00003917734,0.00003742046,0.4331509,0.1578351,0.001528,0.0003211524,0.0002351004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808274,0.00000228598,0.01803406,0.0003193173,0.0004148309,0.0001724368,0.00001290915,0.0000352216,0.0001815646],"genre_scores_gemma":[0.9985059,0.000004060225,0.0001538277,0.001278102,0.00002592287,0.000006497829,0.000005003864,0.000006669109,0.00001402152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4007424,"threshold_uncertainty_score":0.4095544,"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."}}