{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009504383,0.0007622881,0.0007266901,0.0003421127,0.0003135824,0.0008679103,0.001808587,0.001565781,0.000806122],"category_scores_gemma":[0.0006664774,0.000667617,0.0003972473,0.0003954053,0.0007877906,0.001108632,0.0005186274,0.00147823,0.001094011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007863438,"about_ca_system_score_gemma":0.0002923657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002190234,"about_ca_topic_score_gemma":0.000353815,"domain_scores_codex":[0.9993169,0.000128161,0.0000337258,0.0001669369,0.0003028016,0.00005147374],"domain_scores_gemma":[0.9998713,0.00004032723,0.00002178339,0.00001563905,0.00003120868,0.00001968495],"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":[0.00005297391,0.00003935028,0.00003677488,0.0001553503,0.000008207604,0.00003986436,0.00003116582,0.0003769459,0.9814403,0.006757225,0.0004192446,0.01064262],"study_design_scores_gemma":[0.00001598621,0.0001217773,0.0001022342,0.000008637428,0.000009610896,0.0002376417,0.000007947267,0.005570381,0.9828783,0.001090523,0.009935795,0.00002114406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1106986,0.01166042,0.8625166,0.002969755,0.0008078781,0.0004869053,0.0003669334,0.002157968,0.008334772],"genre_scores_gemma":[0.5059906,0.008128832,0.4698015,0.001292111,0.0001734903,0.0006841838,0.0003324328,0.0001630907,0.01343381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001808587,"threshold_uncertainty_score":0.005705416,"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."}}