{"id":"W4402145535","doi":"10.1002/jbio.202400156","title":"Potential of Raman‐Reflectance Combination in Quantifying Liver Steatosis and Fat Droplet Size: Evidence From Monte Carlo Simulations and Phantom Studies","year":2024,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Nova Scotia Health Authority; Dalhousie University","funders":"Research Nova Scotia","keywords":"Steatosis; Raman spectroscopy; Monte Carlo method; Reflectivity; Imaging phantom; Materials science; Diffuse reflectance infrared fourier transform; Chemistry; Optics; Medicine; Internal medicine; Physics; Photocatalysis; Mathematics; Biochemistry; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002399686,0.0000860014,0.0001904287,0.00007407236,0.00002836556,0.00002964961,0.0001047877,0.0001105569,0.000006994877],"category_scores_gemma":[0.0004372997,0.00006850246,0.0000507099,0.000147985,0.0001779975,0.0000157557,0.0001120016,0.0001828628,1.109021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003547024,"about_ca_system_score_gemma":0.00004816805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003169346,"about_ca_topic_score_gemma":0.00002413689,"domain_scores_codex":[0.9991442,0.0000424415,0.0003012575,0.0001648339,0.0002315699,0.0001156946],"domain_scores_gemma":[0.9994293,0.0001886852,0.00009380823,0.00008751403,0.0001462401,0.00005443489],"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":[0.0001159872,0.00003944741,0.001363756,0.0001022948,0.00006943353,0.00002579672,0.0001384608,0.00001099115,0.9970713,0.00001440166,0.0001224609,0.0009257074],"study_design_scores_gemma":[0.0004074274,0.0005077359,0.001514384,0.0007248019,0.00004918709,0.00002527363,0.0001494746,0.01119171,0.9843857,0.0005591345,0.0003860117,0.00009917959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399765,0.05919707,0.0004119144,0.0002311107,0.00008428474,0.00007462202,0.00001554532,0.000003463393,0.000005446007],"genre_scores_gemma":[0.9517798,0.04616841,0.001944409,0.00002489021,0.00004916291,0.000002001278,0.000001647413,0.000007182863,0.00002252601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01302866,"threshold_uncertainty_score":0.2793449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920387414833337,"score_gpt":0.3823980742314649,"score_spread":0.3431942000831316,"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."}}