{"id":"W2791850494","doi":"10.1117/12.2291216","title":"In-vivo volumetric imaging of the cellular structure of healthy and pathological human cornea with high-speed UHR-OCT (Conference Presentation)","year":2018,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Presentation (obstetrics); Cornea; Pathological; Preclinical imaging; In vivo; Biomedical engineering; Medicine; Ophthalmology; Pathology; Radiology; 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":[0.000334385,0.0002057073,0.0001415029,0.0003478298,0.0001708954,0.0002924647,0.0001627206,0.0003130713,0.002328885],"category_scores_gemma":[0.0002274999,0.0002324791,0.0001341148,0.000163268,0.0001802034,0.0003227576,0.000226909,0.0003285721,0.0002210711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700667,"about_ca_system_score_gemma":0.0001671064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006516911,"about_ca_topic_score_gemma":0.001259121,"domain_scores_codex":[0.9999194,0.00001795419,0.000004978466,0.00001693026,0.00002405167,0.00001664294],"domain_scores_gemma":[0.9998841,0.00003847242,0.00002041734,0.00001980194,0.00002099654,0.00001619847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003462441,0.00009337668,0.0009239409,0.00009408436,0.00000969321,0.0001360516,0.00004653318,0.0004227863,0.9884673,0.0001743608,0.0003553871,0.008930359],"study_design_scores_gemma":[0.0001185494,0.002643999,0.124895,0.00006025667,0.0001018786,0.009260576,0.0002647084,0.01816412,0.8363267,0.0005058256,0.007593436,0.00006493323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475965,0.001850351,0.04516783,0.00018738,0.00005271171,0.0001778486,0.001049961,0.0003685175,0.003548661],"genre_scores_gemma":[0.9516075,0.001111416,0.04375446,0.0001279678,0.00003989965,0.000118675,0.00061741,0.00007395,0.002548777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002328885,"threshold_uncertainty_score":0.007790864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213157004220325,"score_gpt":0.2368880636881437,"score_spread":0.2247564936459404,"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."}}