{"id":"W2052751103","doi":"10.1038/srep02629","title":"SuperNova, a monomeric photosensitizing fluorescent protein for chromophore-assisted light inactivation","year":2013,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Precursory Research for Embryonic Science and Technology; Japan Science and Technology Agency; Japan Society for the Promotion of Science; Inamori Foundation; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Photosensitizer; Chromophore; Green fluorescent protein; Cell biology; Biophysics; Fusion protein; Chemistry; Fluorescence; Biology; Biochemistry; Recombinant DNA; Physics; Photochemistry; Gene; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003702677,0.0001933062,0.000170653,0.0001097712,0.0002696065,0.0001877813,0.0001336062,0.0001329012,0.00002543376],"category_scores_gemma":[0.0001888275,0.0001830249,0.0001066995,0.0002595276,0.000160142,0.00002590936,0.0001000722,0.00007618449,0.00001070756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007577184,"about_ca_system_score_gemma":0.0001209206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004119135,"about_ca_topic_score_gemma":0.000008944445,"domain_scores_codex":[0.998122,0.00002628635,0.0004103871,0.0008643836,0.0001976581,0.0003793093],"domain_scores_gemma":[0.9984729,0.000004471977,0.000243746,0.0007966799,0.0003843451,0.00009784647],"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":[0.00001565714,0.00006267578,0.0002531179,0.00002535389,0.00001157657,0.0000117715,0.00004401342,0.000002044675,0.9874647,0.000005973475,0.008090032,0.004013072],"study_design_scores_gemma":[0.0001114008,0.000104975,0.0005007663,0.00004439265,0.000004731673,0.0000814511,0.00006348517,0.00006234379,0.9711114,0.0006899172,0.02700209,0.0002230068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802827,0.0001470678,0.01630666,0.0001341109,0.0008130114,0.00206274,0.000003349012,0.00007544998,0.0001748903],"genre_scores_gemma":[0.9526613,0.000004240467,0.04475508,0.00004423421,0.0001049155,0.0007317436,0.000246312,0.00003910438,0.001413091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02844842,"threshold_uncertainty_score":0.7463537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008619257439542794,"score_gpt":0.247937350482128,"score_spread":0.2393180930425852,"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."}}