{"id":"W4361949197","doi":"10.1158/1078-0432.c.6517929.v1","title":"Data from Color Fluorescence Ratio for Detection of Bronchial Dysplasia and Carcinoma <i>In situ</i>","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Singapore General Hospital","keywords":"Confidence interval; Receiver operating characteristic; Dysplasia; Medicine; Autofluorescence; Carcinoma in situ; Biopsy; Lung cancer; Bronchoscopy; Area under the curve; Gastroenterology; Nuclear medicine; Pathology; Carcinoma; Internal medicine; Radiology; Fluorescence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001973063,0.0003927834,0.0003091723,0.001974462,0.000220583,0.0004578241,0.0003902356,0.0006300219,0.003342912],"category_scores_gemma":[0.005423233,0.0001708249,0.0003414548,0.0009131752,0.0002989937,0.0002953973,0.0001937362,0.0004289655,0.001081088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004732982,"about_ca_system_score_gemma":0.0002503008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236335,"about_ca_topic_score_gemma":0.002941557,"domain_scores_codex":[0.9985091,0.0004839794,0.0001678172,0.0003175783,0.0004388105,0.00008261273],"domain_scores_gemma":[0.9958533,0.001654266,0.0010289,0.00039664,0.0007742686,0.0002926495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005157842,0.0001956332,0.9539748,0.0001222582,0.0001542696,0.0003519715,0.0001309189,0.0005971372,0.02087178,0.0001367389,0.001911317,0.01639536],"study_design_scores_gemma":[0.00008828078,0.001075213,0.9755908,0.00001518915,0.0001465129,0.001851879,0.0001027626,0.002577739,0.01624457,0.0001013147,0.002179673,0.00002595542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9852351,0.0004312433,0.003427919,0.00007775927,0.00002020698,0.0001203003,0.005885399,0.0002690026,0.004533122],"genre_scores_gemma":[0.9932822,0.00007560918,0.002624112,0.00005158055,0.000009370967,0.0001204308,0.002742723,0.00004862802,0.00104534],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.003342912,"threshold_uncertainty_score":0.0111832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360931875590879,"score_gpt":0.3023289412288164,"score_spread":0.2587196224729076,"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."}}