{"id":"W4384696242","doi":"10.1101/2023.07.16.549156","title":"A monochromatically excitable green-red dual-fluorophore fusion incorporating a new large Stokes shift fluorescent protein","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Fluorophore; Stokes shift; Fluorescence; Green fluorescent protein; Fluorescent protein; Live cell imaging; Fusion protein; Biological system; Chemistry; Computer science; Optics; Physics; Biology; Recombinant DNA; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007793037,0.001063724,0.0008487899,0.0002907398,0.0003348115,0.0002601644,0.001001849,0.001283245,0.00002896708],"category_scores_gemma":[0.0005982981,0.001161212,0.0002972217,0.0005513719,0.0002031223,0.00003311376,0.002633575,0.001029653,0.00007654306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260269,"about_ca_system_score_gemma":0.00117276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002380913,"about_ca_topic_score_gemma":0.00003812032,"domain_scores_codex":[0.9949753,0.0002264179,0.001034019,0.001983516,0.0005992861,0.001181502],"domain_scores_gemma":[0.9959028,0.00002693254,0.0007730905,0.002311764,0.0004458934,0.000539484],"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":[0.0001097685,0.0001828558,0.001289331,0.0005147437,0.0001207974,0.0001057523,0.00001630152,0.00002629468,0.9959576,0.0002385122,0.001428072,0.000009989801],"study_design_scores_gemma":[0.0007318493,0.0002707444,0.005635792,0.001236594,0.0000706519,6.985913e-8,0.000005204973,0.0004361229,0.9870493,0.00009144366,0.003178342,0.001293824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553973,0.001708408,0.1365318,0.0006399902,0.0006165301,0.003375138,0.0004579397,0.001265056,0.000007886791],"genre_scores_gemma":[0.7871989,0.0002889544,0.2100572,0.0001979707,0.0009484079,0.0007570389,0.00001634337,0.0004591562,0.00007606337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0735254,"threshold_uncertainty_score":0.9990838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133584697731597,"score_gpt":0.2456533878151268,"score_spread":0.2322949180419671,"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."}}