{"id":"W2066686177","doi":"10.1016/j.oooo.2013.09.006","title":"Oral mucosa optical biopsy by a novel handheld fluorescent confocal microscope specifically developed: technologic improvements and future prospects","year":2013,"lang":"en","type":"article","venue":"Oral Surgery Oral Medicine Oral Pathology and Oral Radiology","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Oral mucosa; Confocal; Tongue; Autofluorescence; Confocal microscopy; Microscope; Fluorescence; Biopsy; In vivo; Medicine; Pathology; Fluorophore; Biomedical engineering; Optics; Biology","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":[0.0009103362,0.0006766958,0.0005395256,0.0004449808,0.0002861482,0.0006235286,0.001373746,0.001341605,0.003398626],"category_scores_gemma":[0.0005223898,0.0005430384,0.0005003881,0.0002704121,0.0004324754,0.001305833,0.0005420485,0.000639284,0.001088655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004566531,"about_ca_system_score_gemma":0.0007639891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504532,"about_ca_topic_score_gemma":0.003685049,"domain_scores_codex":[0.9994598,0.00008274006,0.00002320419,0.0001722455,0.0002073327,0.00005463738],"domain_scores_gemma":[0.9993311,0.0002101812,0.00007986836,0.0001119774,0.0001890433,0.00007791977],"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":[0.0003105392,0.00007682484,0.001919585,0.0002749113,0.00002996915,0.000363427,0.00007060509,0.0002370734,0.9427827,0.0004232608,0.0008753664,0.05263571],"study_design_scores_gemma":[0.000144067,0.001877235,0.01813257,0.00009236849,0.0002501105,0.01650351,0.0002100364,0.01606106,0.9072096,0.0005164332,0.03880054,0.0002024962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2980122,0.01387904,0.6745859,0.001930039,0.000680414,0.0005484793,0.0004653523,0.002777592,0.007120997],"genre_scores_gemma":[0.2653356,0.00382703,0.7178955,0.0007676166,0.0003163121,0.0002067473,0.0003351729,0.0001772235,0.01113896],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003398626,"threshold_uncertainty_score":0.01136953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661283655157843,"score_gpt":0.2923715975719324,"score_spread":0.265758761020354,"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."}}