{"id":"W4294680796","doi":"10.1038/s41433-022-02221-0","title":"Treat & extend in neovascular age-related macular degeneration: how we got here and where do we go next?","year":2022,"lang":"en","type":"letter","venue":"Eye","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"National Institute for Health and Care Research; McMaster University","keywords":"Macular degeneration; Aflibercept; Medicine; Dosing; Clinical trial; Bevacizumab; Cohort; Clinical Practice; Ophthalmology; Intensive care medicine; Internal medicine; Family medicine; Chemotherapy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008140474,0.0005063305,0.0007204838,0.0001941818,0.0001356918,0.0001719461,0.0001288265,0.000490377,0.004000335],"category_scores_gemma":[0.0000201909,0.000424239,0.0003851322,0.000273323,0.00008468067,0.0001140289,0.00009809458,0.001035565,0.0001185025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349869,"about_ca_system_score_gemma":0.00008801698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001289145,"about_ca_topic_score_gemma":0.00005080095,"domain_scores_codex":[0.9977372,0.0002049613,0.0003117291,0.0007597762,0.0005733674,0.0004129521],"domain_scores_gemma":[0.9989332,0.00003957616,0.0001239824,0.0006995026,0.00004010532,0.0001636536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000171988,0.0002218826,0.005580572,0.000916467,0.0008654054,0.03770683,0.0002757675,0.00001526066,0.0001196392,0.00002706684,0.9364605,0.01763863],"study_design_scores_gemma":[0.002764582,0.0002424512,0.00231683,0.0006370443,0.001012802,0.0002104072,0.00008240787,0.00002327547,0.000009447929,0.0002175649,0.9921114,0.0003718077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.07194281,0.2870409,0.000005838931,0.6368918,0.0003513628,0.001198817,0.0001280159,0.00009492054,0.002345549],"genre_scores_gemma":[0.04814852,0.1737681,0.001732837,0.1117048,0.006309682,0.001322047,0.01644755,0.0008418654,0.6397246],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6373791,"threshold_uncertainty_score":0.9998209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198836423608462,"score_gpt":0.2666155185698617,"score_spread":0.244627154333777,"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."}}