{"id":"W1997332617","doi":"10.1016/j.mcn.2006.01.010","title":"Postsynaptic protein mobility in dendritic spines: Long-term regulation by synaptic NMDA receptor activation","year":2006,"lang":"en","type":"article","venue":"Molecular and Cellular Neuroscience","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health; Academia Mexicana de Ciencias; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Dendritic spine; Biology; AMPA receptor; Long-term potentiation; Synaptic plasticity; Postsynaptic density; Postsynaptic potential; NMDA receptor; Fluorescence recovery after photobleaching; Cell biology; Long-term depression; Metaplasticity; Scaffold protein; Glutamate receptor; Synaptic fatigue; Neuroscience; Hippocampal formation; Receptor; Biochemistry; Signal transduction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004075642,0.0003124998,0.0002556586,0.0003107921,0.0003744294,0.0002234176,0.000578214,0.0001135619,0.00003526646],"category_scores_gemma":[0.000607145,0.0003137669,0.00007036549,0.001386755,0.0009366613,0.0006432676,0.0002120022,0.0004442823,0.00002874786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007513198,"about_ca_system_score_gemma":0.00008597701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003998011,"about_ca_topic_score_gemma":0.000003566466,"domain_scores_codex":[0.9959387,0.0005852261,0.0004472302,0.001463382,0.000760489,0.0008050127],"domain_scores_gemma":[0.9990639,0.0001220103,0.0001335308,0.0004477602,0.00004909741,0.0001837111],"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":[0.00004287797,0.0003586246,0.001993259,0.00004537583,3.920428e-7,0.0001168307,0.00001309999,0.00006821501,0.9965681,0.000448523,0.00002208467,0.0003225814],"study_design_scores_gemma":[0.0005120789,0.0002668336,0.007880853,0.00003419251,0.000004372322,0.00002671605,0.000003693669,0.002132769,0.9884049,0.0003823941,0.00006481972,0.0002864341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957467,0.00006076954,0.002179687,0.0004998926,0.0002236398,0.001087926,0.000008285892,0.00009613077,0.00009701255],"genre_scores_gemma":[0.9986321,0.00002459857,0.00002247976,0.0007800293,0.00002534988,0.0001079704,0.000004142526,0.0000335161,0.0003698278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008163292,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627508441344212,"score_gpt":0.2721222371495082,"score_spread":0.2558471527360661,"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."}}