{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003859606,0.0005399095,0.0006035428,0.0005247807,0.0002946572,0.0005525903,0.0007881802,0.0007840721,0.00120727],"category_scores_gemma":[0.0003823072,0.0003776907,0.000538209,0.0003904252,0.0005766574,0.0008998977,0.0005542252,0.001290009,0.0006828076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005996307,"about_ca_system_score_gemma":0.0002746157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004673672,"about_ca_topic_score_gemma":0.0005664779,"domain_scores_codex":[0.9997402,0.00003032699,0.00001750369,0.00008132139,0.000078623,0.00005192601],"domain_scores_gemma":[0.9997175,0.00008600072,0.0000672474,0.00003657035,0.00005673712,0.0000359208],"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":[0.00003125601,0.00001782922,0.00007339404,0.00003911594,0.000005487136,0.00003578376,0.00002220269,0.0002029385,0.9978068,0.0002607656,0.00006595413,0.001438418],"study_design_scores_gemma":[0.000007555201,0.00006228156,0.001778638,0.000009268635,0.000008970705,0.0001965113,0.00004816805,0.01067832,0.986037,0.0002494926,0.0009068259,0.00001707381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8405168,0.001255544,0.151624,0.0004196932,0.000104374,0.00006812439,0.001098757,0.001051806,0.003860951],"genre_scores_gemma":[0.8473416,0.002446293,0.145666,0.0003608983,0.00005796602,0.000381879,0.001235516,0.0002516235,0.002258109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00120727,"threshold_uncertainty_score":0.004350722,"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."}}