{"id":"W2050270680","doi":"10.1186/1471-2202-8-s2-p72","title":"Principal dynamic mode analysis of hippocampal neuronal networks","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hippocampal formation; Neuroscience; Neuron; Hippocampus; Pyramidal cell; Computer science; Principal component analysis; Pattern recognition (psychology); Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003953093,0.0001408179,0.0002112527,0.0002641055,0.0001725402,0.00008639279,0.001518577,0.00004028455,0.000003611514],"category_scores_gemma":[0.00003943063,0.0001292057,0.0001611468,0.004069967,0.0001867543,0.0003049987,0.0003485188,0.000158705,0.000002851212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001985277,"about_ca_system_score_gemma":0.00005820624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001842291,"about_ca_topic_score_gemma":0.0001342572,"domain_scores_codex":[0.9980688,0.00004400106,0.0003639976,0.0006252765,0.0004303018,0.0004676141],"domain_scores_gemma":[0.9986146,0.0002067927,0.0001806855,0.0007659708,0.00005977711,0.0001721525],"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":[0.00001312671,0.0001802897,0.01914564,0.000006443443,0.00001164522,0.00001219211,0.00006804529,0.8798538,0.02668042,0.06198987,0.00006379915,0.01197471],"study_design_scores_gemma":[0.00005101676,0.0000314201,0.2668315,0.000001797593,0.0000224675,0.000004207945,0.000001622294,0.7322617,0.0002693264,0.0001859995,0.0002461209,0.00009285915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3199637,0.00001638373,0.6793339,0.00006210739,0.00024149,0.00009336944,0.000002677187,0.00006844313,0.0002179136],"genre_scores_gemma":[0.9907025,0.00001155475,0.008661211,0.0004825026,0.00003084095,0.000006832775,0.000001940099,0.000006273809,0.00009633238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6707388,"threshold_uncertainty_score":0.5268854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139608065449174,"score_gpt":0.2985163336529,"score_spread":0.2771202529984083,"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."}}