{"id":"W3014902056","doi":"10.1016/j.jcjo.2019.11.010","title":"Measuring intraocular antibodies in eyes treated with anti-vascular endothelial growth factor","year":2020,"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":"Kingston General Hospital; Kingston Health Sciences Centre; Queen's University","funders":"Fondation De La Rétine Du Canada","keywords":"Aqueous humour; Ophthalmology; Antibody; Medicine; Retinal; Macular edema; Visual acuity; Diabetic retinopathy; Cataract surgery; Vascular endothelial growth factor; Aqueous humor; Gastroenterology; Immunology; Internal medicine; Endocrinology; VEGF receptors; Diabetes mellitus","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002994381,0.0002799498,0.0002760676,0.000724321,0.0004731579,0.0005019268,0.0002331554,0.0006514815,0.001017098],"category_scores_gemma":[0.001099841,0.0001657572,0.0003655058,0.0005070154,0.0003120438,0.0003260109,0.0001427148,0.0009061072,0.0001122755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008399452,"about_ca_system_score_gemma":0.0004190273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006536419,"about_ca_topic_score_gemma":0.009770963,"domain_scores_codex":[0.9996514,0.00007677834,0.00002954518,0.00005349406,0.00009614358,0.00009262083],"domain_scores_gemma":[0.9993125,0.0002492756,0.0002061278,0.00002765442,0.00009653263,0.0001079322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008908294,0.0008487664,0.8997865,0.0001127601,0.0001864865,0.002263161,0.0005838809,0.0001014512,0.06525618,0.0001148104,0.0005602825,0.02127747],"study_design_scores_gemma":[0.00008233634,0.002271336,0.9769547,0.00001315691,0.0001781942,0.001954545,0.0003554258,0.0003938629,0.01709833,0.00005839885,0.0006252291,0.00001431075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970739,0.0006973304,0.0002005282,0.00005861382,0.00002982934,0.00001868865,0.00006559386,0.00001480635,0.00184071],"genre_scores_gemma":[0.9989471,0.0001953064,0.0002182429,0.00009092748,0.00002280309,0.00001161377,0.00006497953,0.000002489568,0.0004466312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006536419,"threshold_uncertainty_score":0.01299673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03758683260388331,"score_gpt":0.2566861748447614,"score_spread":0.219099342240878,"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."}}