{"id":"W1989230468","doi":"10.1016/j.copbio.2009.01.003","title":"Genetically encoded FRET-based biosensors for multiparameter fluorescence imaging","year":2009,"lang":"en","type":"article","venue":"Current Opinion in Biotechnology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":159,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Förster resonance energy transfer; Biosensor; Nanotechnology; Fluorescence; Computer science; Materials science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001532803,0.0002781644,0.000236806,0.0002687849,0.00006665949,0.00001913689,0.0004841889,0.0004041225,0.000004201189],"category_scores_gemma":[0.0002631685,0.0002876763,0.0001091483,0.0002404744,0.0004232196,0.000006700785,0.00008810401,0.0002768309,0.000005558443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004795064,"about_ca_system_score_gemma":0.00006629527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000191684,"about_ca_topic_score_gemma":0.000001309779,"domain_scores_codex":[0.9981784,0.00004209847,0.0003917854,0.0007401244,0.00009985165,0.0005478023],"domain_scores_gemma":[0.999101,0.00002576911,0.0001160533,0.0006047335,0.00008638929,0.00006599046],"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":[0.0001012832,0.0001423299,0.00133248,0.00003108551,0.000002931144,5.044245e-7,0.000006462188,0.00003820921,0.9044974,0.0007411713,0.00126701,0.09183913],"study_design_scores_gemma":[0.0008519782,0.000406457,0.0006807934,0.0001214329,0.000003757157,0.000006443654,0.0000113386,0.004553906,0.9611722,0.001405179,0.03042807,0.0003583906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07041476,0.004445288,0.9188355,0.003089728,0.001460025,0.001356469,0.00007228116,0.0003106207,0.00001535882],"genre_scores_gemma":[0.5040931,0.001644112,0.4931559,0.0003019492,0.0002499171,0.0001970199,0.0002989374,0.0000501219,0.000009017132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4336783,"threshold_uncertainty_score":0.9999576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127887289660037,"score_gpt":0.3426392138490529,"score_spread":0.3213603409524526,"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."}}