{"id":"W2021614979","doi":"10.1038/npre.2011.5583.1","title":"Dynamical Mean Field approximation of a canonical cortical model for studying inter-population synchrony","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neocortex; Visual cortex; Population; Synchronization (alternating current); Ordinary differential equation; Dynamical systems theory; Statistical physics; Stochastic differential equation; Neuroscience; Differential equation; Computer science; Physics; Mathematics; Mathematical analysis; Topology (electrical circuits); Combinatorics; Psychology; Quantum mechanics","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":[0.0003558995,0.0002997871,0.0004498128,0.0001627148,0.0001090712,0.00006239811,0.0004276828,0.001109766,0.000015401],"category_scores_gemma":[0.001815518,0.0002736172,0.0002509388,0.0001242175,0.00006214858,0.0001544639,0.0005047205,0.001990801,0.000001160856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171741,"about_ca_system_score_gemma":0.00007309832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005286207,"about_ca_topic_score_gemma":0.00007199735,"domain_scores_codex":[0.9977935,0.00008184114,0.0005853373,0.0008467337,0.00038971,0.0003028534],"domain_scores_gemma":[0.9984217,0.0005583236,0.0004200883,0.0003534128,0.0001544728,0.00009199993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003415982,0.001400498,0.00366771,0.00403074,0.0001865202,0.000008866336,0.004979909,0.01593062,0.7008698,0.2275852,0.00171216,0.03621203],"study_design_scores_gemma":[0.0003264544,0.0001892513,0.0005003753,0.0002211794,0.00008399994,0.000005971742,0.00001310435,0.9505672,0.02089573,0.02691695,0.000008663027,0.0002710802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8073751,0.00002276015,0.1883418,0.0003868607,0.001605711,0.001391116,0.00007636144,0.0001273459,0.0006729758],"genre_scores_gemma":[0.9947329,0.00001458942,0.00438231,0.000349742,0.0001506024,0.0001358399,0.00008738233,0.00004197027,0.000104735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9346367,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518033932260335,"score_gpt":0.3048600472949518,"score_spread":0.2596797079723484,"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."}}