{"id":"W2598930195","doi":"10.3389/fncel.2017.00085","title":"The Calcium Channel C-Terminal and Synaptic Vesicle Tethering: Analysis by Immuno-Nanogold Localization","year":2017,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Krembil Foundation","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Tethering; Terminal (telecommunication); Synaptic vesicle; Chemistry; Cell biology; Calcium channel; Biophysics; Channel (broadcasting); Calcium; Vesicle; Computer network; Computer science; Biology; Biochemistry","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":[0.0001422644,0.0002557854,0.0002370198,0.0004151727,0.0003193311,0.000363418,0.0004329205,0.0005144525,0.0005814906],"category_scores_gemma":[0.0001822543,0.0001681376,0.0002472968,0.0002268733,0.000373053,0.0003153981,0.000304089,0.0005549639,0.0004072456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005872605,"about_ca_system_score_gemma":0.0002421506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002383163,"about_ca_topic_score_gemma":0.002806262,"domain_scores_codex":[0.9999081,0.000004959128,0.000005132696,0.00002384073,0.00002938011,0.00002864101],"domain_scores_gemma":[0.9998852,0.00002233604,0.00001859135,0.00001755301,0.00002662179,0.00002977649],"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":[0.00002552324,0.000006229885,0.0001222388,0.00001999575,0.0000014428,0.00003416945,0.000011484,0.00003441436,0.9991327,0.000134647,0.00001082997,0.0004663511],"study_design_scores_gemma":[0.00001486058,0.00008012207,0.01100242,0.0000132055,0.00002157892,0.0005955333,0.00005050937,0.004933128,0.9803178,0.0002229275,0.002736807,0.00001110054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682233,0.002208337,0.02589254,0.0001040982,0.00005821625,0.00004663536,0.0002743985,0.0001302159,0.003062393],"genre_scores_gemma":[0.9766486,0.001236966,0.01813079,0.00009200874,0.00001783344,0.00006778065,0.0006441483,0.00005800352,0.003103944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002383163,"threshold_uncertainty_score":0.004738629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039398325895349,"score_gpt":0.2297732718121294,"score_spread":0.219379288553176,"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."}}