{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003412783,0.0001892112,0.0001441791,0.00159752,0.0001940138,0.000316101,0.0002343657,0.0002943475,0.003405015],"category_scores_gemma":[0.001446903,0.0001938668,0.0001378343,0.0004341403,0.0002878455,0.000468552,0.0002226914,0.0002225791,0.000158773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002908879,"about_ca_system_score_gemma":0.0001648232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002602489,"about_ca_topic_score_gemma":0.001707364,"domain_scores_codex":[0.9999065,0.00001907197,0.00001365276,0.0000117713,0.00002248673,0.00002631794],"domain_scores_gemma":[0.9993613,0.0003566073,0.00006929453,0.00004626712,0.00009228259,0.0000741394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04308873,0.0009191174,0.5805798,0.0003413158,0.000312602,0.0190159,0.001759219,0.005306543,0.2587325,0.002489455,0.002909324,0.08454557],"study_design_scores_gemma":[0.0001328641,0.0007509374,0.9546008,0.00002239278,0.0001149329,0.01256602,0.0007039545,0.006298986,0.02347677,0.000771276,0.0005296617,0.00003145496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985809,0.00009577912,0.0003142691,0.00002306708,0.000003133536,0.000005041141,0.0001858466,0.00001550926,0.0007765093],"genre_scores_gemma":[0.9992214,0.00008088653,0.0003044244,0.00001806076,0.000005183919,0.00000692241,0.00006668937,0.00000523015,0.0002910323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003405015,"threshold_uncertainty_score":0.01139086,"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."}}