{"id":"W4386752329","doi":"10.1016/j.jcjo.2023.08.002","title":"Predictors of response to a lapse in anti-VEGF treatment in patients with macular edema secondary to retinal vein occlusion","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Eye Institute; Cleveland Eye Bank Foundation","keywords":"Medicine; Dyslipidemia; Occlusion; Macular edema; Retinal Vein; Odds ratio; Ophthalmology; Body mass index; Ranibizumab; Internal medicine; Logistic regression; Surgery; Cardiology; Retinal; Obesity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005749771,0.0002518955,0.0004995598,0.0007255794,0.0003863868,0.0008129086,0.0003740307,0.000872107,0.00152483],"category_scores_gemma":[0.004517892,0.0001626818,0.0007250838,0.0009624596,0.000300006,0.000622906,0.0003433373,0.001603683,0.0001801769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005294641,"about_ca_system_score_gemma":0.0006456127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438473,"about_ca_topic_score_gemma":0.002510433,"domain_scores_codex":[0.9995444,0.00008840789,0.00009591004,0.00005243622,0.0001039112,0.0001148271],"domain_scores_gemma":[0.9952124,0.001694045,0.001754366,0.00009994562,0.0003239112,0.0009153023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005518392,0.00008107922,0.99748,0.000008862327,0.00005694895,0.0002548169,0.00002130595,0.0000799839,0.0001728287,0.00001753913,0.00006045533,0.001214508],"study_design_scores_gemma":[0.00001952615,0.0002891413,0.9979947,0.00001327831,0.00005920183,0.000681378,0.0001532175,0.0004867219,0.00009574544,0.00004398852,0.0001564473,0.000006703026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976799,0.0009713654,0.00005986167,0.0002362139,0.00002745962,0.000009150313,0.0001330815,0.000004592378,0.0008784791],"genre_scores_gemma":[0.9993696,0.0001573213,0.00004350776,0.0000710427,0.00005262426,0.000005667701,0.0001991716,0.000001642421,0.00009952577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002438473,"threshold_uncertainty_score":0.005101085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169146258122016,"score_gpt":0.2712492245926358,"score_spread":0.2595577620114157,"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."}}