{"id":"W2081852526","doi":"10.1021/ac802613w","title":"Fluorescent-Protein-Based Biosensors: Modulation of Energy Transfer as a Design Principle","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Förster resonance energy transfer; Chemistry; Biosensor; Fluorescence; Energy transfer; Fluorescent protein; Intracellular; Nanotechnology; Biophysics; Biochemistry; Green fluorescent protein; Computational biology; Gene; Chemical physics","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":[0.0000905327,0.0001994593,0.0001989773,0.00002635201,0.00003627378,0.00001104761,0.0002127815,0.0002604628,0.00005263922],"category_scores_gemma":[0.0001193333,0.0001994023,0.0001397581,0.0001391558,0.0001371602,0.000004691044,0.00002092415,0.00009739896,0.000002470906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000281182,"about_ca_system_score_gemma":0.0001004711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005527021,"about_ca_topic_score_gemma":3.559007e-7,"domain_scores_codex":[0.9988304,0.00002893117,0.0002929889,0.0003948977,0.0001843226,0.0002684165],"domain_scores_gemma":[0.999265,0.0000105715,0.00004927507,0.000440248,0.0001199605,0.0001149854],"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":[0.0002041602,0.0001368836,0.0000655859,0.00002245352,0.00001665955,0.000004644866,0.000002385353,0.0003818464,0.9980677,0.0003605903,0.00009558875,0.0006415275],"study_design_scores_gemma":[0.0003357657,0.0002345651,0.0001106466,0.00004211013,0.00001932935,0.000003915044,0.000003278296,0.005239656,0.9923448,0.0004725415,0.0009805792,0.0002127938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5238431,0.000090498,0.4749555,0.000153453,0.000006924689,0.0001381323,0.00001105647,0.00004765845,0.0007537401],"genre_scores_gemma":[0.980119,0.000015893,0.01902202,0.000198914,0.00006956718,0.00001032168,0.00009344057,0.0000196792,0.0004511271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.456276,"threshold_uncertainty_score":0.8131391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132504419433512,"score_gpt":0.2777225399293848,"score_spread":0.2663974957350497,"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."}}