{"id":"W2891680531","doi":"10.1002/cyto.a.23572","title":"Spectral imaging of FRET‐based sensors reveals sustained cAMP gradients in three spatial dimensions","year":2018,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Phosphodiesterase function and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Center for Research Resources; American Heart Association; National Science Foundation; National Institutes of Health; Université de Sherbrooke","keywords":"Förster resonance energy transfer; Confocal microscopy; Biophysics; Confocal; Second messenger system; Microscopy; Fluorescence-lifetime imaging microscopy; Fluorescence; Compartmentalization (fire protection); Intracellular; Forskolin; Autofluorescence; Cell biology; Biology; Adenylyl cyclase; Chemistry; Signal transduction; Physics; Optics; Biochemistry; Receptor; Enzyme","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001633814,0.0001139786,0.000143253,0.0001590295,0.00005811265,0.000008481692,0.00007266678,0.00007378657,0.00007012139],"category_scores_gemma":[0.00009633963,0.0001057135,0.00006807222,0.0002805316,0.0001400092,0.000004422013,0.00004298156,0.00005563027,0.00001175299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002697023,"about_ca_system_score_gemma":0.00004571703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004270537,"about_ca_topic_score_gemma":0.0001630343,"domain_scores_codex":[0.999142,0.00004531044,0.0002290417,0.0002441825,0.0001179688,0.0002214842],"domain_scores_gemma":[0.9994581,0.00001358519,0.00008874459,0.0002645522,0.0001094363,0.00006560532],"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":[0.000248154,0.0001059093,0.456124,0.00001806948,0.00002464219,0.000008095226,0.00005985671,0.00007976522,0.5414145,0.00004159213,0.00152991,0.0003454922],"study_design_scores_gemma":[0.001745019,0.0003195105,0.3885411,0.00006002151,0.00002228111,0.000009792439,0.0001039368,0.003008957,0.6030688,0.0002516455,0.002604497,0.0002643483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964426,0.00009368547,0.002414865,0.00009524781,0.0003727914,0.0001510737,0.00001641785,0.00001185211,0.0004014639],"genre_scores_gemma":[0.9990067,0.000005457028,0.0002854362,0.0001189059,0.0002447982,0.000005969986,0.000090086,0.00001356948,0.0002290018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06758289,"threshold_uncertainty_score":0.4310872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089974852476092,"score_gpt":0.257503122541013,"score_spread":0.2466033740162521,"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."}}