{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002602699,0.0007149809,0.00146953,0.001060454,0.005208263,0.004480599,0.001151714,0.04964421,0.008956275],"category_scores_gemma":[0.01501152,0.000489982,0.001346609,0.0007701629,0.0030765,0.005930805,0.002074666,0.03438344,0.006482029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005695858,"about_ca_system_score_gemma":0.006647398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083792,"about_ca_topic_score_gemma":0.02567534,"domain_scores_codex":[0.9973851,0.0008444091,0.0003268388,0.0001675692,0.0007914603,0.0004845262],"domain_scores_gemma":[0.9944754,0.00229545,0.0003647181,0.0001251369,0.001179985,0.001559348],"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":[0.00006978813,0.00008263719,0.00109889,0.0001275062,0.00002297485,0.004541664,0.0001464576,0.00008039991,0.0001476401,0.003941793,0.9667019,0.02303833],"study_design_scores_gemma":[0.0003110098,0.000141934,0.002238794,0.001497104,0.00006958812,0.008733944,0.000962954,0.0007487659,0.0001587595,0.0229855,0.9620515,0.0001002024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002378395,0.003518962,0.00006170584,0.9825507,0.009226006,0.000009244985,0.00001561858,0.00001347819,0.004366483],"genre_scores_gemma":[0.004433415,0.004882385,0.0003718367,0.9236473,0.05854208,0.000037069,0.00002379935,0.00002033904,0.008041716],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04964421,"threshold_uncertainty_score":0.04132658,"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."}}