{"id":"W1966655229","doi":"10.1115/sbc2008-192809","title":"Endoscope Shape-Tracker Based on Embedded Fluorescent Dyes in an Optical Fiber","year":2008,"lang":"en","type":"article","venue":"ASME 2008 Summer Bioengineering Conference, Parts A and B","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Endoscope; Colonoscopy; Medicine; Colorectal cancer; Scope (computer science); Rectum; Endoscopy; Gold standard (test); Colorectal cancer screening; Surgery; Biomedical engineering; Computer science; Cancer; Radiology; Medical physics; Internal medicine","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":[0.0001253547,0.0002449773,0.0002388905,0.0002066634,0.0001179487,0.0001099257,0.0004087299,0.0001056027,0.00008712105],"category_scores_gemma":[0.00001865451,0.0002251396,0.00004000455,0.0003217418,0.0001282549,0.0002818585,0.00008638721,0.000231612,0.0000779916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003425982,"about_ca_system_score_gemma":0.00009635697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002788084,"about_ca_topic_score_gemma":0.00002030276,"domain_scores_codex":[0.9984257,0.00003774846,0.0002901469,0.0005415558,0.0002703266,0.0004345325],"domain_scores_gemma":[0.9990184,0.0000725208,0.00004268783,0.0005613286,0.00006431346,0.0002407222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004129579,0.01097678,0.0658071,0.0006201057,0.0004123065,0.002112905,0.01371912,0.1208998,0.06592175,0.4048556,0.02267324,0.2915883],"study_design_scores_gemma":[0.0007930905,0.0002230029,0.02745451,0.00008363215,0.00000868938,0.00002644794,0.0000335954,0.9607558,0.005063772,0.0000494325,0.005047863,0.0004601185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.678434,0.0002053625,0.3139421,0.002284653,0.0002965585,0.0009000647,0.00003135272,0.0005572987,0.00334863],"genre_scores_gemma":[0.9842463,0.00005400932,0.01524668,0.0001963769,0.00003993633,0.00007699506,0.00002454499,0.00001594585,0.00009923444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8398561,"threshold_uncertainty_score":0.9180927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03884790688300525,"score_gpt":0.2653202638182832,"score_spread":0.226472356935278,"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."}}