{"id":"W4200157589","doi":"10.1002/ange.202113842","title":"Engineering a Non‐Natural Photoenzyme for Improved Photon Efficiency**","year":2021,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Radical Photochemical Reactions","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Protein engineering; Catalysis; Absorption (acoustics); Photon; Chemistry; Flavin group; Function (biology); Excited state; Spectroscopy; Quantum dot; Photochemistry; Nanotechnology; Chemical physics; Materials science; Enzyme; Physics; Atomic physics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006398744,0.0002437229,0.0002806091,0.00002795395,0.00008585249,0.0000569065,0.0002308485,0.0001896714,0.0007823883],"category_scores_gemma":[0.0007009857,0.0002475578,0.0002607713,0.0002204944,0.00004733137,0.00009052268,0.00007254727,0.0003618903,0.00002129502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744781,"about_ca_system_score_gemma":0.0001062569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002194899,"about_ca_topic_score_gemma":0.000005299424,"domain_scores_codex":[0.9985785,0.000001883441,0.0002677655,0.000489407,0.0001610886,0.0005013861],"domain_scores_gemma":[0.9988868,0.0002586886,0.00006729009,0.0004491871,0.0001289841,0.0002090372],"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":[0.00002741228,0.00009419252,0.000005553232,0.000142516,0.00004593589,0.00001099076,0.00004769053,0.000005090087,0.9958078,0.00001466807,0.003640189,0.0001579648],"study_design_scores_gemma":[0.0008409289,0.00000778115,0.000005185635,0.00005749867,0.00004370173,0.00002963125,0.00003526722,0.003566855,0.9354417,0.000074346,0.0596125,0.0002846422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697647,0.001005221,0.0009762924,0.0005406892,0.0004978076,0.0003714972,0.0001878544,0.0004443948,0.02621156],"genre_scores_gemma":[0.9902366,0.00003259389,0.002283372,0.0003095805,0.0004018013,0.0003034968,0.00028288,0.00006759239,0.006082097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06036614,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008833863040377674,"score_gpt":0.2326943303563219,"score_spread":0.2238604673159442,"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."}}