{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002498676,0.0004013042,0.0002986288,0.0002815854,0.0002007374,0.0002938126,0.0004678392,0.0003369743,0.000505812],"category_scores_gemma":[0.0001683313,0.000212561,0.0004011312,0.0002445609,0.0003781745,0.0002333616,0.0002978977,0.000592967,0.0003525722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004577226,"about_ca_system_score_gemma":0.0003801387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000751316,"about_ca_topic_score_gemma":0.0008992352,"domain_scores_codex":[0.9998708,0.00001517651,0.000008620586,0.00003865731,0.00005076549,0.00001599553],"domain_scores_gemma":[0.9998807,0.0000166271,0.00003989052,0.00001763245,0.00001625614,0.00002895349],"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":[0.00003174375,0.000007121216,0.0001110848,0.00002745278,0.000004592233,0.00002158473,0.000009548288,0.00007755463,0.9972308,0.0002993891,0.0000792385,0.002099832],"study_design_scores_gemma":[0.000005069131,0.00006646343,0.0004867043,0.000003382061,0.000009481346,0.0003408945,0.000006177271,0.0007012761,0.9923748,0.00003802697,0.005963059,0.000004725365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8461754,0.005142444,0.1416409,0.0002736746,0.0001370265,0.0001385402,0.0006173282,0.001429696,0.004444991],"genre_scores_gemma":[0.931484,0.003162708,0.05398617,0.000113874,0.00002215035,0.00009745403,0.002095084,0.0002879968,0.008750682],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.000751316,"threshold_uncertainty_score":0.003320992,"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."}}