{"id":"W1965353306","doi":"10.1097/iae.0b013e318169d04e","title":"A METHOD OF REPORTING MACULAR EDEMA AFTER CATARACT SURGERY USING OPTICAL COHERENCE TOMOGRAPHY","year":2008,"lang":"en","type":"article","venue":"Retina","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"National Center for Research Resources","keywords":"Medicine; Optical coherence tomography; Macular edema; Ophthalmology; Cataract surgery; Confidence interval; Edema; Surgery; Visual acuity; Internal medicine","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":[0.02095175,0.0007344066,0.000453667,0.00344287,0.0004288034,0.001133345,0.001004699,0.001171515,0.0008723597],"category_scores_gemma":[0.0638736,0.0003595165,0.0005228147,0.001591621,0.00065066,0.001245388,0.001028922,0.0008421094,0.0004633697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006799158,"about_ca_system_score_gemma":0.00113357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434822,"about_ca_topic_score_gemma":0.002823943,"domain_scores_codex":[0.9792292,0.01040045,0.003419906,0.001473918,0.005218333,0.0002581249],"domain_scores_gemma":[0.9243212,0.02842946,0.0241389,0.006269551,0.01622199,0.0006188846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00168955,0.0004031061,0.8890831,0.0004199781,0.0005017092,0.0001274342,0.0002617879,0.0006839096,0.0139718,0.0002945068,0.001488202,0.09107489],"study_design_scores_gemma":[0.0002695703,0.003408765,0.963705,0.000188934,0.0003478304,0.003028836,0.0002550532,0.005654639,0.01720054,0.0003294897,0.005483745,0.0001276073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8589278,0.007008686,0.118766,0.0007927704,0.0005342261,0.003505474,0.003578707,0.0005841888,0.006302126],"genre_scores_gemma":[0.8472654,0.0009372355,0.145436,0.0005684227,0.0002800182,0.002623367,0.001846325,0.00005831566,0.0009850102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02095175,"threshold_uncertainty_score":0.1108047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06128399700763675,"score_gpt":0.3518350597339415,"score_spread":0.2905510627263048,"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."}}