{"id":"W1965035332","doi":"10.1016/j.chembiol.2012.01.006","title":"A Fluorogenic Red Fluorescent Protein Heterodimer","year":2012,"lang":"en","type":"article","venue":"Chemistry & Biology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Alberta","keywords":"Aequorea victoria; Green fluorescent protein; Fluorescence; Biosensor; Calmodulin; Bimolecular fluorescence complementation; Protein engineering; Fluorescent protein; Directed evolution; Biology; Biophysics; Biochemistry; Live cell imaging; Intracellular; Rational design; Cell biology; Cell; Enzyme; Gene; Mutant; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001758322,0.0002993394,0.0002271049,0.00002014636,0.00008595786,0.0000103008,0.000372078,0.0004579738,0.0001492078],"category_scores_gemma":[0.0001218975,0.0002849103,0.0001393694,0.00008785461,0.0002759223,0.0000071974,0.000266411,0.0002036163,0.00004112399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004565871,"about_ca_system_score_gemma":0.00005092247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004582583,"about_ca_topic_score_gemma":6.447872e-7,"domain_scores_codex":[0.9983504,0.00005448785,0.0002851489,0.0005071295,0.00007316509,0.0007296135],"domain_scores_gemma":[0.9989129,0.000005580536,0.0001192425,0.0006884424,0.0000727399,0.000201102],"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":[0.0000717813,0.00009906568,0.004752691,0.00002718194,0.00003419541,0.000001046459,0.00001358253,2.806695e-7,0.9917467,0.00002474049,0.001765208,0.001463533],"study_design_scores_gemma":[0.0002492253,0.00007938024,0.0001972802,0.00001489588,0.0000108042,0.00003976998,0.00001174824,0.000002128263,0.9071245,0.000064871,0.09190509,0.0003002693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989853,0.003349688,0.004593653,0.0001375054,0.0001486611,0.0004053189,0.00003682923,0.0001315648,0.00134377],"genre_scores_gemma":[0.9814289,0.0001073583,0.01598517,0.0001807704,0.0006488387,0.0001805857,0.0004168596,0.00005103511,0.001000497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09013989,"threshold_uncertainty_score":0.9999603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008712420931569908,"score_gpt":0.276085574055943,"score_spread":0.267373153124373,"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."}}