{"id":"W4377024346","doi":"10.1101/2023.05.17.541168","title":"Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Neuroscience; Optogenetics; Stimulus (psychology); Computer science; Somatosensory system; Connectome; Inhibitory postsynaptic potential; Biology; Functional connectivity; Psychology; Cognitive psychology","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":[0.0001917218,0.000228456,0.0003052139,0.0001009832,0.0001845106,0.00006832762,0.00007999115,0.0002254145,0.000004049761],"category_scores_gemma":[0.0002330215,0.0002408691,0.00003419977,0.000146534,0.0001518389,0.0001228216,0.0003789102,0.0002440642,0.000001337743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003143671,"about_ca_system_score_gemma":0.0000506494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000183482,"about_ca_topic_score_gemma":5.892044e-7,"domain_scores_codex":[0.9984443,0.0001037644,0.0003312503,0.0007411853,0.0001499011,0.0002296081],"domain_scores_gemma":[0.9992511,0.0001428724,0.0001737005,0.0002547072,0.00008403005,0.00009355947],"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":[0.00002202756,0.00002414538,0.0005197973,0.0001609025,0.00001110816,0.000003242675,0.00002027514,0.01252955,0.9859624,0.0007391323,0.000003781477,0.00000365347],"study_design_scores_gemma":[0.0003628268,0.00008417966,0.01547024,0.0001170395,0.00004792374,3.397246e-8,0.000006598472,0.6281922,0.3552705,0.00009822789,0.00003109098,0.0003191725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977527,0.0001713095,0.001073697,0.000101267,0.0003765365,0.0003691739,0.00004897899,0.0001053537,9.579608e-7],"genre_scores_gemma":[0.9989604,0.0003703324,0.0003341489,0.0001209238,0.0001279144,0.00004090025,2.952291e-7,0.00004240853,0.000002724295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6306919,"threshold_uncertainty_score":0.9822358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04270910787195815,"score_gpt":0.2672879610353834,"score_spread":0.2245788531634252,"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."}}