{"id":"W1994279491","doi":"10.1117/1.1805558","title":"Detection and diagnosis of oral neoplasia with an optical coherence microscope","year":2004,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; National Institutes of Health","keywords":"Optical coherence tomography; Confocal; Confocal microscopy; Microscopy; Microscope; Pathology; Oral mucosa; Optics; Materials science; Biopsy; Biomedical engineering; Medicine; Physics","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":[0.0004649448,0.0002327851,0.0001679108,0.001113708,0.0002266225,0.0002165253,0.0001455006,0.0004197355,0.001022039],"category_scores_gemma":[0.0008474139,0.0002693389,0.00009932022,0.0002762798,0.0002765903,0.0003000529,0.0002847844,0.0002882336,0.0002006591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694319,"about_ca_system_score_gemma":0.0002913039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431322,"about_ca_topic_score_gemma":0.003155935,"domain_scores_codex":[0.9997826,0.00005749749,0.00001202822,0.00003862703,0.00007524146,0.00003407498],"domain_scores_gemma":[0.999767,0.00008410446,0.00003589505,0.00002888399,0.00005917561,0.00002494809],"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":[0.0003690167,0.0000569835,0.02036394,0.0000892473,0.00001385372,0.0003033788,0.0001385971,0.000106291,0.9462324,0.0002533527,0.0001849065,0.03188801],"study_design_scores_gemma":[0.00009552151,0.001870353,0.3266313,0.00006185604,0.0001448829,0.01290499,0.0006249879,0.01183703,0.6357805,0.0006552472,0.009338653,0.00005475649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730856,0.001748467,0.02228159,0.0001699762,0.0000101571,0.0000942992,0.0001388237,0.0001186397,0.002352386],"genre_scores_gemma":[0.9270653,0.0009940548,0.07015786,0.00008425349,0.00001286512,0.00009434189,0.0001388385,0.00000969865,0.001442816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001431322,"threshold_uncertainty_score":0.003419042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008630279290372555,"score_gpt":0.2378975010862474,"score_spread":0.2292672217958749,"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."}}