{"id":"W2751715659","doi":"10.1136/bjophthalmol-2017-310642","title":"Diagnostic accuracy of optical coherence tomography for diagnosing glaucoma: secondary analyses of the GATE study","year":2017,"lang":"en","type":"article","venue":"British Journal of Ophthalmology","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondazione Roma; Queen's University; Ministero della Salute; Health Technology Assessment Programme; Queen's University Belfast; National Institute for Health and Care Research","keywords":"Medicine; Optical coherence tomography; Glaucoma; Optometry; Tomography; Ophthalmology; Medical physics; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004925779,0.0001308644,0.0007251495,0.0001119729,0.0002114796,0.00003364356,0.000526668,0.00009759981,0.0001049294],"category_scores_gemma":[0.006900541,0.000101275,0.0004704158,0.0001090858,0.000623057,0.0001291003,0.0001198557,0.0003547767,4.474437e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001209884,"about_ca_system_score_gemma":0.0001803433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002733715,"about_ca_topic_score_gemma":0.00001248446,"domain_scores_codex":[0.9984158,0.0001413131,0.0007670645,0.0001587512,0.0002831145,0.0002339791],"domain_scores_gemma":[0.9962329,0.001615937,0.001167474,0.0003503822,0.0005252539,0.0001080099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003226356,0.001274343,0.9865972,0.0002000381,0.0003817291,0.003934809,0.00009476392,0.000001744445,0.002467552,0.00001707119,0.0002750366,0.004433074],"study_design_scores_gemma":[0.002842882,0.00247044,0.942176,0.0008222303,0.0005876443,0.04714192,0.0004314706,0.000006610865,0.002926783,0.0004922532,0.00001745181,0.00008431645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945709,0.00308901,0.00002974813,0.0003672514,0.000423197,0.0005897267,0.00002171014,0.000002301155,0.0009061734],"genre_scores_gemma":[0.9991943,0.0001135527,0.0005195717,0.00002278758,0.00008729035,0.00001210997,0.000001536853,0.00001566919,0.00003315834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04442121,"threshold_uncertainty_score":0.8261091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284815442872949,"score_gpt":0.3611243564826962,"score_spread":0.3182762020539667,"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."}}