{"id":"W4416216962","doi":"10.1016/j.str.2025.10.014","title":"Memory engram synapse 3D macromolecular architecture visualized by cryoCLEM-guided cryoET","year":2025,"lang":"en","type":"article","venue":"Structure","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"European Social Fund; HORIZON EUROPE European Research Council; Biotechnology and Biological Sciences Research Council; Irish Research Council; European Research Council; National Institutes of Health; UK Research and Innovation; Irish Research Council for Science, Engineering and Technology; Science Foundation Ireland; National Institute of Neurological Disorders and Stroke; University of Leeds; Wellcome Trust; Academy of Medical Sciences; Wellcome","keywords":"Engram; Postsynaptic potential; Synapse; Synaptic plasticity; Synaptic vesicle; Organelle; Neuroplasticity; Memory consolidation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001232261,0.0002291975,0.0001128778,0.0002829903,0.0001829239,0.0003687246,0.0002828033,0.0003333792,0.001619124],"category_scores_gemma":[0.0001762944,0.0002201088,0.0001431061,0.0001710565,0.0003958692,0.0004243068,0.0003649065,0.0007523047,0.000287535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272116,"about_ca_system_score_gemma":0.0002838149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406208,"about_ca_topic_score_gemma":0.0020322,"domain_scores_codex":[0.9999573,0.000003216608,0.000002153396,0.00001208439,0.00001503379,0.00001022443],"domain_scores_gemma":[0.9998935,0.00002217335,0.0000294145,0.0000220579,0.00002132167,0.00001149117],"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":[0.00003646818,0.00001488573,0.0008139667,0.00003544031,0.000006517498,0.0001529191,0.0000382837,0.001769791,0.9928551,0.001472133,0.0001226267,0.002681894],"study_design_scores_gemma":[0.00001500405,0.00007525702,0.009815203,0.00001901294,0.00001796228,0.0008719072,0.00008145641,0.03641782,0.9478046,0.0006690036,0.004197874,0.00001487682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883539,0.0004453786,0.1100045,0.0002094217,0.00002731766,0.00004860638,0.0005186729,0.0003942981,0.004812829],"genre_scores_gemma":[0.9207464,0.0004769083,0.0753933,0.0001000304,0.00001163816,0.00006298123,0.0004421702,0.0001482914,0.002618267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001619124,"threshold_uncertainty_score":0.005416512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002743862016857429,"score_gpt":0.3215006971095071,"score_spread":0.3187568350926497,"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."}}