{"id":"W2009465944","doi":"10.1021/cn200094j","title":"Label-Free Visualization of Ultrastructural Features of Artificial Synapses via Cryo-EM","year":2011,"lang":"en","type":"article","venue":"ACS Chemical Neuroscience","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Molson Foundation; McGill University","keywords":"Ultrastructure; Synaptic vesicle; Hippocampal formation; Electron microscope; Biophysics; Cryo-electron microscopy; Synapse; Vesicle; Membrane; Chemistry; Nanotechnology; Neuroscience; Materials science; Biology; Anatomy; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006589063,0.0001040091,0.0001267335,0.00002445422,0.0000283872,0.000005961624,0.0004549456,0.00008583456,0.000008441796],"category_scores_gemma":[0.0004412422,0.00008894191,0.00003993345,0.0001549315,0.0002287312,0.000007429176,0.000154583,0.00004690421,3.248009e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002535743,"about_ca_system_score_gemma":0.00003479535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000111457,"about_ca_topic_score_gemma":0.000002398157,"domain_scores_codex":[0.9991629,0.00001533165,0.0001988231,0.0002777469,0.000173398,0.0001718201],"domain_scores_gemma":[0.9994324,0.000009177768,0.0001262494,0.0002861161,0.00008874269,0.00005733141],"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":[0.00005992376,0.00007607965,0.00003865473,0.00002221804,0.000002052393,6.946501e-7,0.00005824603,5.877127e-7,0.9978875,0.0007322135,0.00002654854,0.001095271],"study_design_scores_gemma":[0.0001251017,0.0002070091,0.0003886873,0.000008667165,0.000009322938,0.00002239522,0.00002115427,0.00003943215,0.9972956,0.00175818,0.00003308049,0.0000913849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952325,0.00002794118,0.004279816,0.000009915005,0.000137771,0.00007320951,0.00001982115,0.000008571491,0.0002104061],"genre_scores_gemma":[0.9990963,0.00002518596,0.0006623985,0.0001443708,0.00002954296,0.000003907859,0.000009005002,0.00000900948,0.00002024364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003863787,"threshold_uncertainty_score":0.3626946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687842279721537,"score_gpt":0.2538160142030031,"score_spread":0.2369375914057878,"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."}}