{"id":"W3093239306","doi":"10.3389/fncir.2020.00057","title":"Activity-Dependent Remodeling of Synaptic Protein Organization Revealed by High Throughput Analysis of STED Nanoscopy Images","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Synaptic plasticity; Neuroscience; STED microscopy; Postsynaptic potential; Metaplasticity; Synaptic scaling; Postsynaptic density; Nonsynaptic plasticity; Synaptic augmentation; Long-term potentiation; Biology; Population; Neurotransmission; Synaptic fatigue; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Physics","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":[0.000190736,0.000173669,0.0002521288,0.0007518486,0.0001766867,0.0003234387,0.0002395731,0.00022808,0.0006061979],"category_scores_gemma":[0.0002728787,0.0002035562,0.0002849134,0.0003472319,0.0002027784,0.0002040311,0.0003708139,0.0003809377,0.0002350081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003042534,"about_ca_system_score_gemma":0.0001177159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007385232,"about_ca_topic_score_gemma":0.001013117,"domain_scores_codex":[0.9998987,0.000006452558,0.000007105948,0.0000341855,0.00003486786,0.00001855163],"domain_scores_gemma":[0.9997857,0.00008081637,0.00003915885,0.00003788451,0.00003229759,0.0000241117],"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":[0.00005345538,0.00002016691,0.002310526,0.00005524578,0.00002203979,0.0001042338,0.00005698148,0.001345868,0.9903717,0.0001496231,0.0001107331,0.005399335],"study_design_scores_gemma":[0.000008933572,0.00005173963,0.1003349,0.00001671402,0.00004104007,0.0005027968,0.00008417126,0.09607013,0.8012454,0.000340098,0.001268183,0.00003591917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662483,0.0001828516,0.03095053,0.00004732321,0.000006655409,0.00002194354,0.001229066,0.0005138931,0.000799513],"genre_scores_gemma":[0.9711132,0.0002670055,0.02666942,0.00003160186,0.000006339914,0.00007318108,0.001011115,0.0001264058,0.0007017914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007518486,"threshold_uncertainty_score":0.002207518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03588093137789319,"score_gpt":0.2915219581533349,"score_spread":0.2556410267754417,"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."}}