{"id":"W1224909280","doi":"","title":"Scanning Laser Tomography Retinal Thickness and Edema Maps in Normal & Diabetic Eyes","year":2005,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Ophthalmology; Retinal; Diabetic macular edema; Medicine; Tomography; Edema; Laser; Diabetic retinopathy; Radiology; Diabetes mellitus; Internal medicine; Optics; Physics; Endocrinology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001230686,0.000213132,0.0003871586,0.0005772335,0.0002760981,0.00006207203,0.0002131644,0.00008642961,0.00007126018],"category_scores_gemma":[0.0005772204,0.0001794277,0.00006673045,0.00182511,0.005683641,0.0004036787,0.0001524231,0.0003937236,0.0000259069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006776332,"about_ca_system_score_gemma":0.0002125146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568273,"about_ca_topic_score_gemma":0.000006097997,"domain_scores_codex":[0.9978551,0.0001576116,0.0003270746,0.0006364549,0.0004312163,0.0005924929],"domain_scores_gemma":[0.998995,0.000139724,0.0001205226,0.0001847318,0.0001765107,0.0003835204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003233088,0.00008821436,0.8219658,0.00002436974,0.00001403838,0.0002665662,0.0009204635,0.00003300393,0.1757487,0.00004711442,0.00002861514,0.0008308185],"study_design_scores_gemma":[0.0005941323,0.0004869933,0.8748919,0.0003144131,0.00006565112,0.001141025,0.0006830349,0.002907702,0.1174993,0.001085284,0.00006613507,0.000264452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925241,0.0002629179,0.000002963849,0.003455783,0.00005444031,0.0001349132,0.000002111316,0.00003185712,0.003530844],"genre_scores_gemma":[0.9955751,0.000006266553,0.003279933,0.0007077242,0.0001027293,0.00001900235,0.00000441173,0.00001153106,0.0002932498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0582494,"threshold_uncertainty_score":0.9970223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277210396166449,"score_gpt":0.3311270569128328,"score_spread":0.3083549529511683,"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."}}