{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003759739,0.0005393503,0.0003835347,0.0003267369,0.0004924658,0.0004865575,0.0008636457,0.0005269681,0.003201351],"category_scores_gemma":[0.0003965966,0.0002781704,0.0002940925,0.0005138906,0.0002540341,0.0004025547,0.0006080661,0.001039501,0.00187734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009786111,"about_ca_system_score_gemma":0.0004351813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018738,"about_ca_topic_score_gemma":0.002853835,"domain_scores_codex":[0.9997835,0.00002312942,0.00001754988,0.00005883322,0.00008689283,0.00003017128],"domain_scores_gemma":[0.9998463,0.00003037693,0.00002320128,0.00003245344,0.00003452181,0.00003302309],"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":[0.0001397288,0.00002458531,0.0002663743,0.00009832632,0.000007533252,0.0000881526,0.00003335045,0.0003707454,0.9901628,0.001386209,0.00078409,0.006638005],"study_design_scores_gemma":[0.00002217618,0.00004341633,0.0011992,0.00001368682,0.00001149658,0.0003323252,0.00002283893,0.003661108,0.9548094,0.0003278508,0.03953894,0.00001750644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7211038,0.0030195,0.2321558,0.0007648541,0.000340955,0.0004687197,0.008742061,0.00365809,0.02974622],"genre_scores_gemma":[0.7332333,0.002264039,0.1990036,0.0004118124,0.00002419141,0.0005238835,0.0296289,0.001273875,0.03363626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003201351,"threshold_uncertainty_score":0.01070964,"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."}}