{"id":"W2147508321","doi":"10.1523/eneuro.0051-15.2015","title":"Metaplastic Regulation of CA1 Schaffer Collateral Pathway Plasticity by Hebbian MGluR1a-Mediated Plasticity at Excitatory Synapses onto Somatostatin-Expressing Interneurons","year":2015,"lang":"en","type":"article","venue":"eNeuro","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Neuroscience; Schaffer collateral; Excitatory postsynaptic potential; Hebbian theory; Synaptic plasticity; Plasticity; Biology; Chemistry; Computer science; Inhibitory postsynaptic potential; Physics; Artificial neural network; Artificial intelligence","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":[0.00004592242,0.0002301968,0.0001413452,0.000150404,0.00008301026,0.0001632329,0.0001651963,0.0001546647,0.0006539601],"category_scores_gemma":[0.00007816267,0.00009506227,0.0001989337,0.00006441751,0.0001724209,0.0001623875,0.0001778966,0.0003353501,0.0001869985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201178,"about_ca_system_score_gemma":0.0001433861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009172379,"about_ca_topic_score_gemma":0.001630719,"domain_scores_codex":[0.9999411,0.000003637598,0.000003988777,0.00001413408,0.00001539697,0.00002174834],"domain_scores_gemma":[0.9999444,0.000004420565,0.00001788223,0.000007119236,0.000006396003,0.00001971515],"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":[0.00003082501,0.000003971242,0.0001231036,0.000006526816,0.000002111546,0.00003197073,0.000004440989,0.00002008732,0.9993291,0.00003344174,0.00000856379,0.0004058191],"study_design_scores_gemma":[0.00003096934,0.0002497778,0.06315539,0.000007989893,0.00002259055,0.0004023078,0.00004202148,0.002572983,0.9322751,0.0002473377,0.0009842444,0.000009323776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974825,0.0003413628,0.001088435,0.00002978879,0.000007299639,0.000007349557,0.00008024984,0.0000681778,0.0008950165],"genre_scores_gemma":[0.9984382,0.0001864364,0.0003833497,0.00001738845,0.000003426334,0.000008064493,0.00005283361,0.000009714099,0.0009005768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009172379,"threshold_uncertainty_score":0.002187669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05824936977199954,"score_gpt":0.3065929120807389,"score_spread":0.2483435423087394,"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."}}