{"id":"W6939128378","doi":"10.60692/nwcxz-5xh60","title":"Anti-VEGF intravitreal injections in the era of COVID-19: responding to different levels of epidemic pressure","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Retinal and Optic Conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Health care; Postponement; Prioritization; Disease; Consistency (knowledge bases); Coronavirus disease 2019 (COVID-19)","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":[0.03685145,0.0005211448,0.0006364281,0.001424547,0.001191118,0.003741558,0.001863466,0.004144443,0.001439044],"category_scores_gemma":[0.05983535,0.0003414653,0.001393918,0.0006356128,0.001468501,0.002079971,0.002565316,0.006203055,0.0004516941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003434618,"about_ca_system_score_gemma":0.01018907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008069168,"about_ca_topic_score_gemma":0.0154676,"domain_scores_codex":[0.9699857,0.018879,0.003328804,0.0009557787,0.005056011,0.001794806],"domain_scores_gemma":[0.9656075,0.01228696,0.005354493,0.0008568504,0.01235819,0.003535983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006997263,0.0006856959,0.02915905,0.006127391,0.0004118503,0.0008618115,0.002183129,0.002230524,0.002948274,0.005520859,0.1699602,0.7792115],"study_design_scores_gemma":[0.0008737481,0.00347278,0.07276808,0.0397762,0.0009940984,0.002397024,0.008007617,0.00637172,0.006764397,0.01504763,0.8431299,0.0003968436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07804162,0.1817926,0.02069376,0.6556818,0.01612302,0.001975676,0.0004765077,0.0007445914,0.04447042],"genre_scores_gemma":[0.520694,0.1678511,0.08569948,0.2079079,0.008612435,0.001692322,0.0007384218,0.0002781441,0.006526159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03685145,"threshold_uncertainty_score":0.1948915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05185877422755555,"score_gpt":0.2910752854614246,"score_spread":0.239216511233869,"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."}}