{"id":"W3045089982","doi":"10.1101/2020.07.24.220319","title":"Interneuron Specific Gamma Synchronization Indexes Cue Uncertainty and Prediction Errors in Lateral Prefrontal and Anterior Cingulate Cortex","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Interneuron; Neuroscience; Inhibitory postsynaptic potential; Anterior cingulate cortex; Prefrontal cortex; Primate; Cortex (anatomy); Psychology; Biology; Gating; Cognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006744577,0.0001242235,0.0000944031,0.000158511,0.00006991522,0.0001430131,0.00008665601,0.00009812944,0.0006979606],"category_scores_gemma":[0.0003832328,0.00006657525,0.00006747658,0.0000668965,0.0001498638,0.00009685174,0.0001942619,0.0001599716,0.00004282263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918554,"about_ca_system_score_gemma":0.0001062703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001940998,"about_ca_topic_score_gemma":0.003575585,"domain_scores_codex":[0.9999744,0.000002811121,0.000001360528,0.000008199712,0.000006095776,0.000007224726],"domain_scores_gemma":[0.9999089,0.00002179265,0.00003130038,0.000007181308,0.00001004707,0.00002072463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001523429,0.00001476746,0.0171552,0.00003026153,0.00002365286,0.00007811271,0.0001486068,0.001231649,0.9728307,0.0002453454,0.00008073674,0.008008557],"study_design_scores_gemma":[0.00001331223,0.0001338482,0.8730212,0.00001266504,0.00003964319,0.00031531,0.0002458805,0.0299728,0.09443462,0.001246631,0.000551871,0.00001217208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985456,0.00003258982,0.001052381,0.00001460831,0.00000120506,0.000001891268,0.00003726075,0.00001017207,0.000304289],"genre_scores_gemma":[0.9994501,0.00001699291,0.0003306964,0.000004246935,8.286394e-7,0.000002487473,0.00003457042,0.000003334223,0.0001567035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001940998,"threshold_uncertainty_score":0.00385946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479200102237639,"score_gpt":0.2107119640317518,"score_spread":0.1959199630093754,"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."}}