{"id":"W917084362","doi":"","title":"The United Kingdom Diabetic Retinopathy Electronic Medical Record (UK DR EMR) Users Group:Report 2-real world data for diabetic macular edema and impact of cataract surgery from 20 United Kingdom hospital eye services","year":2015,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Diabetic retinopathy; Diabetic macular edema; Ophthalmology; Macular edema; Medical record; Optometry; Electronic medical record; Diabetes mellitus; Surgery; Emergency medicine; Retinal","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":[0.003412889,0.0007742948,0.0009876785,0.00392882,0.0004421264,0.002173738,0.0009028823,0.001616549,0.006138659],"category_scores_gemma":[0.02437442,0.0008169209,0.0009092002,0.009756532,0.0003780105,0.001878308,0.002621315,0.0008651538,0.004163905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002379593,"about_ca_system_score_gemma":0.001818642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1020616,"about_ca_topic_score_gemma":0.1478822,"domain_scores_codex":[0.99274,0.001499935,0.002160387,0.0006319304,0.002365049,0.0006026645],"domain_scores_gemma":[0.9630786,0.007096475,0.01620336,0.002929797,0.00791863,0.002773192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001080587,0.000136245,0.9184383,0.0005909663,0.000354442,0.0004447492,0.0004934874,0.0002349446,0.0003664871,0.0001585538,0.06863768,0.009063622],"study_design_scores_gemma":[0.00008939081,0.0000944918,0.990501,0.00009733791,0.00008284362,0.0002275007,0.0004012743,0.0002269408,0.0001998384,0.00001372747,0.008039002,0.00002665454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4019226,0.001875054,0.0003563954,0.002344418,0.00011607,0.0002851799,0.5851148,0.0002065865,0.007778799],"genre_scores_gemma":[0.4651549,0.001670645,0.001281234,0.001371216,0.0001270459,0.0005423409,0.5231394,0.0001410355,0.006572173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1020616,"threshold_uncertainty_score":0.2029351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821993037966637,"score_gpt":0.2807198954311555,"score_spread":0.2524999650514891,"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."}}