{"id":"W159816686","doi":"10.2144/02321st04","title":"Live-Cell Nucleocytoplasmic Protein Shuttle Assay Utilizing Laser Confocal Microscopy and FRAP","year":2002,"lang":"en","type":"article","venue":"BioTechniques","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Oklahoma State University; University of Chicago; Oklahoma Agricultural Experiment Station; McMaster University; Hereditary Disease Foundation","keywords":"Fluorescence recovery after photobleaching; Green fluorescent protein; Cell biology; Protein subcellular localization prediction; Fluorescence microscope; Fusion protein; Confocal microscopy; Nucleus; Nuclear transport; Biology; Subcellular localization; Cellular compartment; Live cell imaging; Photobleaching; Nuclear protein; Nuclear pore; Compartment (ship); Confocal; Nuclear localization sequence; Cell nucleus; Fluorescence; Cytoplasm; Cell; Biochemistry; Recombinant DNA; Gene","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":[0.0001986107,0.0003017457,0.0002219437,0.00007675933,0.0001371951,0.00006260787,0.0002648318,0.0004946025,0.00008919618],"category_scores_gemma":[0.00005559144,0.0003027796,0.00007710066,0.00008831826,0.0003120278,0.00001556673,0.000222902,0.0002640779,0.00003324265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002980018,"about_ca_system_score_gemma":0.00002040312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002307157,"about_ca_topic_score_gemma":0.000007179984,"domain_scores_codex":[0.9985505,0.00007975511,0.0002611043,0.0005919759,0.0001213882,0.0003953298],"domain_scores_gemma":[0.9992288,0.0000123519,0.0001077122,0.0004732516,0.00006490796,0.0001129524],"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":[0.00003267014,0.00007695387,0.000452155,0.00003239635,0.000008021816,0.000006725628,0.00003909389,1.259017e-7,0.9897637,0.00006350606,0.006361295,0.003163302],"study_design_scores_gemma":[0.0002112303,0.0003930176,0.00004028615,0.00007533052,0.000007859931,0.00001892465,0.00003745477,0.00007213213,0.9346194,0.0001275175,0.06405502,0.0003417954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901302,0.004703263,0.08617847,0.0003647878,0.00008753956,0.001532188,0.00008480291,0.0007711811,0.004975703],"genre_scores_gemma":[0.8088853,0.001428639,0.1878069,0.0003712138,0.00009548994,0.000102184,0.00002882748,0.00006894857,0.00121252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1016284,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112485939381351,"score_gpt":0.2558248333890938,"score_spread":0.2445762394509587,"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."}}