{"id":"W1691770433","doi":"10.1002/jbio.201200114","title":"Diffuse reflectance spectroscopy in Barrett’s Esophagus: developing a large field‐of‐view screening method discriminating dysplasia from metaplasia","year":2012,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University; University of Toronto; Ontario Institute for Cancer Research","funders":"Xillix Technologies Corporation; Erlangen Graduate School of Advanced Optical Technologies; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Dysplasia; Autofluorescence; Esophagus; Intestinal metaplasia; Spectroscopy; Endoscopy; Diffuse reflectance infrared fourier transform; Barrett's esophagus; Metaplasia; Medicine; Pathology; Optics; Chemistry; Radiology; Physics; Internal medicine; Adenocarcinoma; Cancer; Fluorescence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000997667,0.0004763862,0.0004174047,0.0008056828,0.0001264234,0.000262684,0.000231314,0.0003978925,0.0004171403],"category_scores_gemma":[0.001100307,0.000234574,0.0002835574,0.0002107428,0.0002327203,0.0003052817,0.0002795817,0.0003257391,0.0002330936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000166709,"about_ca_system_score_gemma":0.0002707578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005620358,"about_ca_topic_score_gemma":0.001229118,"domain_scores_codex":[0.9996915,0.00009959078,0.00001031178,0.00007856476,0.00009807286,0.00002190254],"domain_scores_gemma":[0.9995649,0.0002050004,0.0000549274,0.00002965158,0.00009983253,0.00004557778],"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":[0.0008304805,0.0002589829,0.01793893,0.0001224013,0.00003589091,0.0001173337,0.00006390647,0.001576157,0.8840087,0.0001066015,0.00008384213,0.09485667],"study_design_scores_gemma":[0.0002318153,0.007318354,0.1068145,0.00003139773,0.0002897416,0.003468836,0.0001589632,0.09717856,0.7822148,0.0002930574,0.001903038,0.0000969657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497013,0.0009447552,0.04858417,0.0001049581,0.00001134085,0.000059579,0.00003971983,0.0001598598,0.0003943394],"genre_scores_gemma":[0.9015224,0.0004736897,0.09738642,0.00005461296,0.00001456285,0.00003995707,0.00007942442,0.00001530011,0.0004136663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000997667,"threshold_uncertainty_score":0.005276203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451075520023451,"score_gpt":0.2963379532822483,"score_spread":0.2818271980820138,"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."}}