{"id":"W2081906155","doi":"10.1126/science.1068793","title":"Multicolor and Electron Microscopic Imaging of Connexin Trafficking","year":2002,"lang":"en","type":"article","venue":"Science","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":901,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Research Resources; National Institute of General Medical Sciences; National Institute on Deafness and Other Communication Disorders","keywords":"Vesicle; Electron microscope; Biophysics; Connexin; Fluorescence; Cell biology; Chemistry; Gap junction; Membrane; Nanotechnology; Biology; Materials science; Biochemistry; Intracellular; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150597,0.00005466919,0.00006471483,0.00003921404,0.00007380469,0.00001242885,0.0001273465,0.00002500887,0.0000155859],"category_scores_gemma":[0.00006811495,0.00004870713,0.000015837,0.00009188838,0.0004941374,0.000003449268,0.00006325213,0.00003192217,0.000001905921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000500038,"about_ca_system_score_gemma":0.00002124104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005658756,"about_ca_topic_score_gemma":0.00001026504,"domain_scores_codex":[0.9994372,0.00001252273,0.00008453926,0.0002284566,0.00004791273,0.0001894209],"domain_scores_gemma":[0.9997548,0.000007650157,0.00003467606,0.0001268902,0.00003908056,0.0000368915],"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":[0.000004215933,0.00001300077,0.005295081,0.000003373608,0.000001451314,4.725929e-7,0.00006774331,0.000002062153,0.988054,0.0000855063,0.00002822363,0.006444806],"study_design_scores_gemma":[0.0002818088,0.0001632664,0.014182,0.000006778497,0.000003432682,0.00002082515,0.00007318117,0.001227621,0.9784389,0.00001667033,0.005491495,0.00009404074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973408,0.001827466,0.000129293,0.0001334301,0.0000559289,0.00005254341,0.000001600563,0.000004283886,0.0004546474],"genre_scores_gemma":[0.9991837,0.00009873774,0.0004478353,0.0001410992,0.0000260041,0.000001822651,9.861911e-7,0.000003116197,0.00009672829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009615186,"threshold_uncertainty_score":0.1986219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008470831549116887,"score_gpt":0.2585111466244488,"score_spread":0.2500403150753319,"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."}}