{"id":"W3191883539","doi":"10.3390/biology10080764","title":"Mechanisms of Flexible Information Sharing through Noisy Oscillations","year":2021,"lang":"en","type":"article","venue":"Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Synchronization (alternating current); Flexibility (engineering); Mutual information; Noise (video); Phase synchronization; Asymmetry; Statistical physics; Excitatory postsynaptic potential; Computer science; Phase (matter); Physics; Biology; Inhibitory postsynaptic potential; Neuroscience; Mathematics; Artificial intelligence; Channel (broadcasting); Telecommunications; Statistics","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":[0.00004022045,0.00004191432,0.00006759159,0.00003008406,0.0000603478,0.00001144932,0.00006607813,0.00004670405,0.0001316573],"category_scores_gemma":[0.0001735066,0.00003743333,0.00002821662,0.0001840074,0.00002754129,0.0001999621,0.00006727151,0.00004161295,0.00004817427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029586,"about_ca_system_score_gemma":0.00001842497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001616613,"about_ca_topic_score_gemma":0.000003229558,"domain_scores_codex":[0.9995841,0.00002380896,0.0001380733,0.0001169541,0.00004267585,0.00009438687],"domain_scores_gemma":[0.9997045,0.0000542284,0.00006462675,0.0001233074,0.0000405696,0.00001277027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002692773,0.000006184288,0.0001001521,0.000003111869,8.923136e-7,3.868233e-7,0.00004258436,0.00003949283,0.5288413,0.4701395,0.00003174696,0.0007920035],"study_design_scores_gemma":[0.0002175367,0.0001061951,0.002358241,0.000006627648,0.000005270932,0.00002732205,0.00006728037,0.003952121,0.7973102,0.1824218,0.01342632,0.0001011621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7644714,0.00002519331,0.1906166,0.001263625,0.002247262,0.0001794626,0.00007200143,0.0001236688,0.04100086],"genre_scores_gemma":[0.9979975,0.00001399645,0.0007306169,0.0007730046,0.00001587733,0.000004489124,0.00002452098,0.000002433656,0.0004376082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2877177,"threshold_uncertainty_score":0.1526487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04919266807891613,"score_gpt":0.2872780409095926,"score_spread":0.2380853728306765,"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."}}