{"id":"W2086736869","doi":"10.1088/0031-9155/48/24/011","title":"Measurement of fluorophore concentrations and fluorescence quantum yield in tissue-simulating phantoms using three diffusion models of steady-state spatially resolved fluorescence","year":2003,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Fluorophore; Fluorescence; Quantum yield; Excitation; Fluorescence correlation spectroscopy; Materials science; Monte Carlo method; Attenuation coefficient; Diffusion; Analytical Chemistry (journal); Chemistry; Optics; Molecular physics; Physics; Mathematics","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":[0.0004789937,0.0001420688,0.0005251497,0.00009542682,0.00002996455,0.000002698877,0.00005158081,0.00006976131,0.000004074039],"category_scores_gemma":[0.0003438545,0.0001065415,0.00001828929,0.0002129001,0.0004947258,0.0000528993,0.00003257198,0.0002097886,5.188062e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003550947,"about_ca_system_score_gemma":0.00007257539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000887435,"about_ca_topic_score_gemma":0.00009208181,"domain_scores_codex":[0.9988062,0.00007569793,0.000472013,0.0002530589,0.000171608,0.0002213678],"domain_scores_gemma":[0.9993659,0.000128879,0.0001317496,0.0001610913,0.0001509387,0.00006146079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008871864,0.0001251609,0.05436411,0.0001404546,0.000009509355,0.000005687054,0.0006047807,0.00008398176,0.9294608,0.006460707,0.000002399283,0.008653712],"study_design_scores_gemma":[0.003079883,0.001963502,0.007241504,0.004298739,0.0001001939,0.00001486148,0.0004944281,0.5102966,0.413778,0.05845263,0.000009576923,0.0002700588],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424554,0.001342847,0.05532872,0.0001996393,0.00004296218,0.0003539433,0.000003068252,0.00001395779,0.0002594845],"genre_scores_gemma":[0.9884184,0.0007227418,0.01076919,0.00004303573,0.0000289556,0.000004445435,0.000003456405,0.000008668747,0.00000113389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5156828,"threshold_uncertainty_score":0.4344636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2061600511150036,"score_gpt":0.3910028884944964,"score_spread":0.1848428373794928,"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."}}