{"id":"W2102275596","doi":"10.1158/1078-0432.ccr-07-4418","title":"<i>In vivo</i>Optical Coherence Tomography Imaging of Preinvasive Bronchial Lesions","year":2008,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of British Columbia; University of Toronto; BC Cancer Agency","funders":"National Cancer Institute; National Institutes of Health","keywords":"Autofluorescence; Carcinoma in situ; Dysplasia; Medicine; Pathology; Optical coherence tomography; Histopathology; Metaplasia; Hyperplasia; Squamous metaplasia; Bronchoscopy; Endomicroscopy; In vivo; Carcinoma; Radiology; Epithelium; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009940373,0.0001701089,0.0003980211,0.0003649744,0.0001262816,0.00001825287,0.0006009948,0.0001587236,0.000658843],"category_scores_gemma":[0.0003922926,0.0001694737,0.0002218042,0.001851997,0.001663193,0.0001828586,0.0001411507,0.001260159,0.00005714416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007116451,"about_ca_system_score_gemma":0.0002437353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002196694,"about_ca_topic_score_gemma":0.0002010785,"domain_scores_codex":[0.997171,0.0001857271,0.0008083407,0.0004477554,0.0006834073,0.0007037247],"domain_scores_gemma":[0.9969564,0.001772824,0.0000405327,0.0005716592,0.0003229955,0.0003355991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004041338,0.001826122,0.8297719,0.0005015769,0.0002331677,0.0002514745,0.000832932,0.003975845,0.04552288,0.01831653,0.07024548,0.02811795],"study_design_scores_gemma":[0.006556875,0.001138125,0.7939395,0.00104366,0.0001085958,0.00006177496,0.0006463039,0.0194587,0.1217034,0.01936174,0.03381148,0.002169842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751056,0.001376319,0.0007020187,0.0006809314,0.0002847449,0.0008623083,0.00007063031,0.0001545998,0.02076285],"genre_scores_gemma":[0.9965487,0.001215177,0.001337451,0.00006204371,0.0002197891,0.0004769433,0.000002038796,0.00003553184,0.0001024019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07618057,"threshold_uncertainty_score":0.7213868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1251411609419853,"score_gpt":0.4294912707119592,"score_spread":0.3043501097699739,"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."}}