{"id":"W2083232929","doi":"10.5555/1400549.1400644","title":"Large scale modeling of the piriform cortex for analyzing antiepileptic effects","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Piriform cortex; Correlation dimension; Lyapunov exponent; Synchronization (alternating current); Computer science; Nonlinear system; Attractor; Phase space; Phase synchronization; Recurrence plot; Chaotic; Artificial intelligence; Mathematics; Fractal dimension; Fractal; Neuroscience; Physics; Psychology; Telecommunications; Hippocampus; Mathematical analysis","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":[0.0001267447,0.0001134655,0.0001541681,0.00006432469,0.0003670702,0.00002090816,0.0001882084,0.00004955912,0.000004291454],"category_scores_gemma":[0.0007111944,0.00008743325,0.0001057815,0.0001955527,0.00006369288,0.0001718212,0.00006597747,0.0001098324,0.000004079641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002630177,"about_ca_system_score_gemma":0.00003432068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001800264,"about_ca_topic_score_gemma":0.00001153104,"domain_scores_codex":[0.9990014,0.00004694748,0.0002569769,0.0002739619,0.0001971784,0.000223535],"domain_scores_gemma":[0.9989455,0.0005103081,0.0001424401,0.0002628466,0.0001015583,0.00003736218],"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":[0.00002851025,0.00005424002,0.02653191,0.00007069816,0.000003091887,6.098345e-7,0.0003172214,0.6566243,0.3139188,0.001823966,4.500536e-7,0.0006263067],"study_design_scores_gemma":[0.0004973709,0.00003107916,0.0313306,0.00005675223,0.0000114043,0.000001014152,0.00001155838,0.9362454,0.03137657,0.0003277489,0.00001346872,0.00009703096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7882066,0.000005131373,0.2110304,0.00002514032,0.0002612107,0.0003665098,0.000006665662,0.00003617145,0.00006214106],"genre_scores_gemma":[0.9992145,0.000008905871,0.0005629865,0.00009140637,0.00003477735,0.00001063024,0.00000122824,0.00001416481,0.00006144577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2825422,"threshold_uncertainty_score":0.3565425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454076297342686,"score_gpt":0.2848865737874112,"score_spread":0.2394789440531426,"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."}}