{"id":"W4232233160","doi":"10.1097/opx.0000000000001233","title":"Erratum","year":2018,"lang":"en","type":"erratum","venue":"Optometry and Vision Science","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Eye Institute; National Institutes of Health; Ohio Lions Eye Research Foundation; Canada Research Chairs; Ontario Innovation Trust","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002607233,0.001527953,0.001520734,0.004493742,0.00427622,0.004968526,0.002334427,0.006198048,0.143968],"category_scores_gemma":[0.03860527,0.0006554142,0.001399045,0.001801102,0.001539244,0.002472158,0.002519282,0.008387081,0.1009917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003732115,"about_ca_system_score_gemma":0.005257836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009656873,"about_ca_topic_score_gemma":0.01530232,"domain_scores_codex":[0.9959366,0.0005318932,0.0005441345,0.0004201559,0.002163404,0.0004037335],"domain_scores_gemma":[0.984535,0.003051963,0.0008152656,0.0008943494,0.00961751,0.001085934],"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":[0.00001464914,0.000005328691,0.00003170075,0.00003477037,0.000002385078,0.0001032265,0.000006395259,0.000008369212,0.00001240723,0.000252006,0.9956794,0.003849298],"study_design_scores_gemma":[0.00001472238,0.00001194128,0.0002299119,0.0001911293,0.00001411041,0.0002103857,0.00005173513,0.0000421009,0.0001092672,0.000791799,0.99832,0.00001287741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002112791,0.001828015,0.0003261608,0.06351645,0.9060625,0.0000711441,0.001139809,0.0002690641,0.02657559],"genre_scores_gemma":[0.005239365,0.006894189,0.001726705,0.1101194,0.2221338,0.0003199977,0.003637905,0.0009767233,0.6489519],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.856032,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039697023409734,"score_gpt":0.4348518486454364,"score_spread":0.414454878411339,"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."}}