{"id":"W1998662246","doi":"10.1016/j.conb.2012.02.001","title":"Cellular-based modeling of oscillatory dynamics in brain networks","year":2012,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Neuroscience; Perspective (graphical); Computer science; Population; Dynamics (music); Cognitive science; Computational model; Biology; Artificial intelligence; Psychology; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004712059,0.0004840194,0.001355077,0.0007309167,0.00004111279,0.00001399656,0.000507881,0.0004729665,0.00001479294],"category_scores_gemma":[0.000257381,0.0004355242,0.0003313881,0.0008539533,0.0001451734,0.00008105115,0.0001974442,0.001209624,0.00001267372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000271996,"about_ca_system_score_gemma":0.0001547226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000770793,"about_ca_topic_score_gemma":0.00001164449,"domain_scores_codex":[0.9960036,0.001180097,0.001214953,0.0008482254,0.0001358763,0.0006172056],"domain_scores_gemma":[0.9978892,0.0009579854,0.0005749119,0.0004690494,0.00002465386,0.00008424121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006544428,0.0008568974,0.0005123705,0.0265713,0.000009196402,0.000006807431,0.00002171349,0.07640935,0.0001717027,0.01064301,0.0001862929,0.8845459],"study_design_scores_gemma":[0.0003958134,0.0001102455,0.00000507859,0.005539463,0.00002596448,0.00001370793,0.000001881668,0.7435144,0.000003376475,0.00007706555,0.2498159,0.0004971268],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004101695,0.9760058,0.002206077,0.00004549095,0.02015065,0.0009692325,0.0001017108,0.0000461592,0.00006472534],"genre_scores_gemma":[0.01130033,0.9877697,0.000008065871,0.00005911635,0.0003253608,0.00008053155,0.0003829447,0.00006581699,0.000008095929],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8840488,"threshold_uncertainty_score":0.9998097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1574619206543822,"score_gpt":0.3583793080882895,"score_spread":0.2009173874339073,"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."}}