{"id":"W2576136329","doi":"10.1364/boe.8.000800","title":"Sub-micrometer axial resolution OCT for in-vivo imaging of the cellular structure of healthy and keratoconic human corneas","year":2017,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Optics; Preclinical imaging; Resolution (logic); In vivo; Micrometer; Optical coherence tomography; Materials science; Image resolution; Optical imaging; Biomedical engineering; Medicine; Biology; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004519303,0.0002276825,0.0002315921,0.0007051515,0.000273783,0.0002811907,0.0002055753,0.0003437655,0.002490942],"category_scores_gemma":[0.0004310596,0.000243369,0.0001453565,0.0003680191,0.0001743978,0.0003816017,0.0002520353,0.0004348163,0.0002882336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552231,"about_ca_system_score_gemma":0.0003172836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115646,"about_ca_topic_score_gemma":0.00397989,"domain_scores_codex":[0.9998624,0.00003866491,0.000008998348,0.00001678236,0.00005005377,0.00002313981],"domain_scores_gemma":[0.999721,0.0001191323,0.00002316641,0.0000642056,0.00003899569,0.00003354789],"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":[0.000323957,0.00009641553,0.002491602,0.00007933717,0.00002022373,0.0001363989,0.00006257302,0.0004129505,0.9801937,0.000406215,0.0003929485,0.01538378],"study_design_scores_gemma":[0.0001186916,0.001790805,0.2020537,0.00005508239,0.0001838645,0.008765245,0.0002905486,0.03259533,0.7437312,0.001074755,0.0092671,0.00007357635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327812,0.001858719,0.05796713,0.0002577779,0.00007202524,0.0002443566,0.001322638,0.0004533662,0.005042613],"genre_scores_gemma":[0.920274,0.0008733097,0.07573602,0.0001708062,0.0000200653,0.000166004,0.0005882732,0.00006940816,0.002102144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002490942,"threshold_uncertainty_score":0.008333027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900225253288773,"score_gpt":0.2844164567660566,"score_spread":0.2654142042331689,"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."}}