{"id":"W2077637896","doi":"10.1117/12.499820","title":"Accuracy of a simple diffusion theory model of fluorescence for estimating fluorophore concentration","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Regional Laboratory Medicine Program","funders":"National Institutes of Health","keywords":"Fluorophore; Monte Carlo method; Fluorescence; Diffusion; Materials science; Diffuse reflectance infrared fourier transform; Fluorescence spectroscopy; Biological system; Spectroscopy; Accuracy and precision; Root mean square; Chemistry; Optics; Analytical Chemistry (journal); Physics; Mathematics; Statistics; Chromatography","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":[0.00487508,0.0009082616,0.0008724765,0.001030544,0.0005905306,0.001641707,0.001207549,0.002130016,0.0005284837],"category_scores_gemma":[0.02050939,0.0005602903,0.0006384206,0.000530767,0.00112819,0.001951742,0.0007317794,0.0008885823,0.0002815008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002254347,"about_ca_system_score_gemma":0.001774827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135274,"about_ca_topic_score_gemma":0.007431995,"domain_scores_codex":[0.998368,0.0004554315,0.000099547,0.0002842867,0.0006974674,0.00009542322],"domain_scores_gemma":[0.993583,0.00467319,0.0003237095,0.0008070522,0.0005241596,0.00008890617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000254541,0.00007789618,0.002436,0.0001196707,0.00006584926,0.00009784954,0.00009334643,0.9310125,0.04750798,0.003912497,0.0002187575,0.01420315],"study_design_scores_gemma":[0.00001857145,0.00008279456,0.000638736,0.00001424955,0.00001533719,0.0001075481,0.0000130466,0.9760582,0.02149644,0.001277438,0.0002429576,0.00003463409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2863717,0.0009941304,0.7083565,0.000464386,0.0000776723,0.0001051628,0.000238849,0.001171311,0.00222017],"genre_scores_gemma":[0.8683232,0.000566397,0.1299306,0.0001065548,0.00001145668,0.00009057271,0.0001828738,0.0001140742,0.0006743154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01135274,"threshold_uncertainty_score":0.02578217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419280637781739,"score_gpt":0.275404110076941,"score_spread":0.2612113036991237,"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."}}