{"id":"W4223596430","doi":"10.1093/protein/gzac004","title":"Cyan fluorescent proteins derived from mNeonGreen","year":2022,"lang":"en","type":"article","venue":"Protein Engineering Design and Selection","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"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; University of California, San Diego; National Institutes of Health; Agence Nationale de la Recherche; University of Alberta; Alberta Innovates; National Institute of General Medical Sciences; Western Canada Research Grid; Compute Canada","keywords":"Cyan; Fluorescence; Fluorescent protein; Chemistry; Biophysics; Green fluorescent protein; Biochemistry; Biology; Physics; Optics","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":[0.0001377238,0.0001189907,0.00008480078,0.00003946084,0.0001512651,0.00002074642,0.0000842923,0.0000503561,0.00003176468],"category_scores_gemma":[0.00003095018,0.0001286777,0.00002786302,0.00008547038,0.000008002102,0.000003706726,0.00007643033,0.0001148843,0.000001160258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002445152,"about_ca_system_score_gemma":0.00003836339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005619445,"about_ca_topic_score_gemma":0.0000027987,"domain_scores_codex":[0.9993123,0.00004164053,0.0000982077,0.0002635663,0.0001089983,0.0001753221],"domain_scores_gemma":[0.9997964,0.000003812092,0.00003320348,0.00008396346,0.00002299474,0.00005961052],"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":[0.00007805528,0.00003080343,0.000007052201,0.00001262241,0.00002306832,0.00000132941,0.00003368879,0.002777966,0.9953051,0.00005370712,0.00001459143,0.001662015],"study_design_scores_gemma":[0.0002819952,0.0004039942,0.0000573057,0.000008657747,0.00000922347,0.00001750249,0.00001432008,0.02248074,0.9717239,0.0001560682,0.004683909,0.0001624239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4832639,0.0002174209,0.5158614,0.00003879363,0.00005771946,0.0005038441,0.000005870349,0.00004254901,0.000008511068],"genre_scores_gemma":[0.9855044,0.00002644352,0.01360841,0.00003444674,0.00008896586,0.0005611567,0.00002849708,0.00002561819,0.0001220095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.502253,"threshold_uncertainty_score":0.5247323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006196252681623536,"score_gpt":0.1794390851928552,"score_spread":0.1732428325112316,"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."}}