{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144801,0.0002680907,0.0006802009,0.0002530295,0.00005913792,0.00003654854,0.000324859,0.0001298682,0.00005142343],"category_scores_gemma":[0.0003531311,0.0002452117,0.0001698843,0.0004208061,0.00002033146,0.0004853741,0.00005204787,0.0007269318,0.000002363568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002152333,"about_ca_system_score_gemma":0.00009264248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000305655,"about_ca_topic_score_gemma":0.00002161534,"domain_scores_codex":[0.9978494,0.0000937941,0.0009386839,0.0001485873,0.0003468294,0.0006226724],"domain_scores_gemma":[0.9986349,0.0005575367,0.0003732335,0.000210321,0.00007741518,0.0001466071],"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":[0.0004350631,0.0006731788,0.0792828,0.001459669,0.001559024,0.000450788,0.01979548,0.005506055,0.8681816,0.002040743,0.0009639981,0.01965163],"study_design_scores_gemma":[0.00281074,0.0001270137,0.0126821,0.002257508,0.0003895923,0.0003489718,0.002310337,0.122814,0.8539325,0.0006610603,0.0009348665,0.0007313414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4044428,0.0350449,0.5589387,0.00009831036,0.0009481981,0.0001373517,0.00002141858,0.0000403548,0.0003279807],"genre_scores_gemma":[0.6905417,0.000724246,0.308473,0.0001012703,0.0001153968,0.000003155111,0.000002038136,0.00003472194,0.000004531187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2860989,"threshold_uncertainty_score":0.9999442,"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."}}