{"id":"W3045701351","doi":"10.1097/iae.0000000000002925","title":"Reply","year":2020,"lang":"en","type":"letter","venue":"Retina","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Political science; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001559271,0.0006328537,0.0008009791,0.0006502561,0.002839172,0.002145448,0.001352546,0.03180859,0.01042785],"category_scores_gemma":[0.0130337,0.0006055477,0.0007465123,0.0005952379,0.001956578,0.002435304,0.0008652408,0.01946153,0.008886566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00375317,"about_ca_system_score_gemma":0.003048887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01609433,"about_ca_topic_score_gemma":0.01846705,"domain_scores_codex":[0.9989313,0.0002957884,0.0001428511,0.0001411029,0.0003166336,0.0001722569],"domain_scores_gemma":[0.9964211,0.001437166,0.0002086781,0.0001139119,0.001169569,0.0006496232],"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":[0.00002824461,0.000008689888,0.000503693,0.00002333713,0.000006327113,0.001667159,0.00009634496,0.00002326023,0.00007875304,0.0006434515,0.9949208,0.002000063],"study_design_scores_gemma":[0.0001140065,0.00005698029,0.002913348,0.0002987508,0.00003640869,0.009938535,0.000966638,0.0002658881,0.0002910969,0.00432624,0.9806949,0.00009727214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0005306018,0.00102981,0.00005799843,0.9812027,0.01322684,0.00001524017,0.0001021541,0.00004286438,0.003791937],"genre_scores_gemma":[0.005561824,0.001005057,0.0001229634,0.968387,0.01608556,0.00003317193,0.00005414015,0.00002245497,0.008727655],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03180859,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488976996700561,"score_gpt":0.2555110661598573,"score_spread":0.2306212961928517,"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."}}