{"id":"W2136735565","doi":"10.1186/1471-2202-14-s1-p403","title":"Probabilistic inference of synaptic dynamics in neocortical microcircuits","year":2013,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Pyramidal cell; Computer science; Neuroscience; Markov chain Monte Carlo; Spike train; Visual cortex; Probabilistic logic; Bayesian inference; Connection (principal bundle); Artificial intelligence; Bayesian probability; Spike (software development); Mathematics; 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":[0.0003326609,0.0002534734,0.0003345965,0.0004153343,0.0001751725,0.0001230254,0.001533737,0.00008129714,0.00009758372],"category_scores_gemma":[0.007280272,0.00022966,0.0000796659,0.002348133,0.002040595,0.0007510114,0.0004385879,0.0005320754,0.0001905673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083913,"about_ca_system_score_gemma":0.0003673364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000519467,"about_ca_topic_score_gemma":0.00003440506,"domain_scores_codex":[0.9960179,0.0004524835,0.0006025938,0.00117465,0.0007633285,0.0009890404],"domain_scores_gemma":[0.9974769,0.001441218,0.0001638737,0.0005470645,0.00009302946,0.0002779019],"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":[0.00001461886,0.0002760105,0.02205284,0.00004923831,1.554626e-7,0.00006160528,0.00003325491,0.0002853924,0.9715588,0.005050077,0.00002170036,0.0005962841],"study_design_scores_gemma":[0.000756327,0.000620247,0.09430516,0.00004778265,0.000007312565,0.0001824894,0.00004817349,0.2217604,0.6785057,0.003252488,0.00005459186,0.0004592873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968198,0.000007882011,0.0003617289,0.0002762747,0.0004821613,0.0009892328,0.000009596292,0.00007414966,0.0009791869],"genre_scores_gemma":[0.998226,0.00003691055,0.00004319075,0.00122694,0.00001705315,0.0001393441,1.633558e-7,0.00002180924,0.0002885415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2930531,"threshold_uncertainty_score":0.9365262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07947290380025969,"score_gpt":0.3494514044160647,"score_spread":0.269978500615805,"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."}}