{"id":"W1856633992","doi":"10.26443/mjm.v13i1.247","title":"Quantifying the increasing use of anti-vascular endothelial growth factor therapy in ophthalmology","year":2020,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Ranibizumab; Bevacizumab; Medicine; Clinical trial; Ophthalmology; Macular degeneration; Vascular endothelial growth factor; Adverse effect; Artificial tears; VEGF receptors; Internal medicine; Chemotherapy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.08105929,0.0008667681,0.004042036,0.03512221,0.0004333375,0.00462874,0.001996069,0.00237958,0.002524294],"category_scores_gemma":[0.2235669,0.0008755586,0.005905773,0.03803038,0.002082329,0.005222681,0.002346191,0.001708904,0.0003920987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005061417,"about_ca_system_score_gemma":0.007437998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004838689,"about_ca_topic_score_gemma":0.009230797,"domain_scores_codex":[0.8534908,0.05685756,0.05100729,0.009026434,0.02884504,0.0007728918],"domain_scores_gemma":[0.4853805,0.3770911,0.09704898,0.005714837,0.03287827,0.001886305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.001271677,0.0001050761,0.05859949,0.5267903,0.01948824,0.0001913236,0.001009142,0.0007237237,0.0009328126,0.002401652,0.006100272,0.3823863],"study_design_scores_gemma":[0.0007960334,0.002089091,0.2362132,0.5631028,0.04866103,0.003445219,0.002302188,0.001005568,0.002214907,0.005748358,0.134177,0.0002445982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006019204,0.9879556,0.0006015428,0.001943387,0.0001672177,0.0001324409,0.001960394,0.00001086583,0.001209237],"genre_scores_gemma":[0.1499008,0.8340204,0.008359266,0.003833505,0.0006814541,0.0006883673,0.002271896,0.00003612608,0.000208138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08105929,"threshold_uncertainty_score":0.4286876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475943770035956,"score_gpt":0.3491382653029327,"score_spread":0.2015438882993371,"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."}}