{"id":"W4392915381","doi":"10.26434/chemrxiv-2024-cjs5j","title":"Engineering a Photoenzyme to Use Red Light","year":2024,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Radical Photochemical Reactions","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Basic Energy Sciences; National Energy Research Scientific Computing Center; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Flavin group; Cyan; Photochemistry; Chemistry; Substrate (aquarium); Cofactor; Catalysis; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006833406,0.0004685967,0.0004475769,0.0001291014,0.00003049463,0.0002507946,0.0005677271,0.0006989089,0.001702396],"category_scores_gemma":[0.00136754,0.0004907895,0.000359506,0.000244134,0.00002529594,0.00003991784,0.001310312,0.002071094,0.0009415855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004343754,"about_ca_system_score_gemma":0.0001056644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006846473,"about_ca_topic_score_gemma":0.00000278395,"domain_scores_codex":[0.9978195,0.000003654216,0.0004204208,0.0009525288,0.0003387078,0.0004651735],"domain_scores_gemma":[0.997915,0.000224498,0.00006734226,0.001199429,0.00006375169,0.0005300376],"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":[0.00001323809,0.00005072463,0.00000933281,0.0006860516,0.0001155177,0.00007015802,0.0001298527,0.0001229883,0.9416742,0.00008073786,0.05694477,0.0001024821],"study_design_scores_gemma":[0.00008134497,0.000001764765,0.00001370011,0.0007941547,0.00007883104,0.00001041143,0.000006013261,0.0009080327,0.8024307,0.001004003,0.1942169,0.0004540881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493291,0.000369616,0.0000947073,0.003083058,0.00125126,0.000399508,0.0000707173,0.00186623,0.04353576],"genre_scores_gemma":[0.9881415,0.00002805389,0.00190646,0.0001860858,0.0009313377,0.0006114472,0.0001264277,0.0002158639,0.007852821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1392434,"threshold_uncertainty_score":0.9998363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175786126470603,"score_gpt":0.2452476790829933,"score_spread":0.227669066435933,"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."}}