{"id":"W2136366610","doi":"10.3389/fncel.2014.00004","title":"Cryoloading: introducing large molecules into live synaptosomes","year":2014,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Synaptive (Canada); Toronto Western Hospital","funders":"University of Toronto","keywords":"Synaptosome; Biophysics; Chemistry; Membrane; Postsynaptic potential; Depolarization; Free nerve ending; Cytoplasm; Synaptic vesicle; Biochemistry; Cell biology; Receptor; Vesicle; Biology; Anatomy","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":[0.0002803264,0.0001932908,0.0001934733,0.0001223906,0.0001430775,0.00004930787,0.0004887033,0.0001220861,0.000006589654],"category_scores_gemma":[0.0001964092,0.0001832567,0.00007578817,0.0002296234,0.0001891203,0.00001266759,0.0002008629,0.0001445627,0.000004000308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001765992,"about_ca_system_score_gemma":0.0000440209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001601766,"about_ca_topic_score_gemma":0.00001059394,"domain_scores_codex":[0.9983165,0.0001100289,0.0002101736,0.0007213,0.0001974442,0.0004446154],"domain_scores_gemma":[0.9993035,0.000007229527,0.0000747137,0.0004741299,0.00003367577,0.0001067165],"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":[0.00001589114,0.00003841083,0.01439984,0.00001253744,0.000001933751,0.000009027224,0.00009109889,0.00006663238,0.9822199,0.0001681592,0.001101156,0.001875416],"study_design_scores_gemma":[0.0003536132,0.0001797191,0.001729875,0.0000109491,0.00001111586,0.00001000685,0.00009688261,0.001715898,0.945882,0.0001872266,0.0495557,0.0002670069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8407671,0.0003347943,0.1555735,0.0001721425,0.002589685,0.0001288843,0.000004217703,0.0000251745,0.0004044405],"genre_scores_gemma":[0.9946162,0.00007671951,0.003717065,0.0008250439,0.0002991213,0.00001197034,0.00001880204,0.00002268046,0.0004124001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1538491,"threshold_uncertainty_score":0.7472991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005083145187933735,"score_gpt":0.2190676348780861,"score_spread":0.2139844896901523,"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."}}