{"id":"W1016749179","doi":"","title":"Quantification of the Retina Layers Reflectivity and Thickness in an In-vivo Rat model of Outer Retina Degeneration with Ultrahigh Resolution Optical Coherence Tomography","year":2011,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Optical coherence tomography; Retina; In vivo; Optics; Resolution (logic); Reflectivity; Materials science; Degeneration (medical); Tomography; Coherence (philosophical gambling strategy); Ophthalmology; Physics; Biology; Medicine; Computer science; Artificial intelligence","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":[0.0007746296,0.000830906,0.0004380731,0.0008714703,0.0003377517,0.0003838692,0.0003826813,0.0004978165,0.0008718889],"category_scores_gemma":[0.0003285733,0.0006523314,0.0004425542,0.0003475399,0.0007669718,0.001194469,0.0002905828,0.001126551,0.000217407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003708137,"about_ca_system_score_gemma":0.0005109595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601096,"about_ca_topic_score_gemma":0.003366462,"domain_scores_codex":[0.9997593,0.00003835772,0.00001900573,0.00006440836,0.00006281825,0.00005619174],"domain_scores_gemma":[0.9993526,0.00006811327,0.0002483045,0.0001231585,0.0001171322,0.00009070218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008573002,0.0002475723,0.0006399153,0.00004811218,0.00001691351,0.00006584194,0.00007378323,0.0002059753,0.9954276,0.0001754426,0.00002708934,0.002214303],"study_design_scores_gemma":[0.00003191616,0.001694564,0.006907802,0.0000073913,0.00009705535,0.0002438901,0.0001244329,0.002310645,0.9880553,0.00009551238,0.0004160939,0.00001545342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861276,0.0009041881,0.01194826,0.00006682527,0.00003319237,0.00004124613,0.0001636939,0.0001170784,0.0005979175],"genre_scores_gemma":[0.9799924,0.00155144,0.01405723,0.00004201578,0.00001230278,0.00008121059,0.0001913571,0.0000386162,0.004033523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002601096,"threshold_uncertainty_score":0.005171895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06434332361298395,"score_gpt":0.3255595925153775,"score_spread":0.2612162689023936,"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."}}