{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003611019,0.0004689832,0.00050668,0.00248462,0.001145501,0.001074459,0.001729082,0.0005086077,0.0006603741],"category_scores_gemma":[0.001209972,0.0003817585,0.00009090795,0.008444775,0.00473382,0.001251433,0.001196951,0.001060359,0.007184749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532296,"about_ca_system_score_gemma":0.000646351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007383079,"about_ca_topic_score_gemma":0.000001076315,"domain_scores_codex":[0.9945258,0.00007343026,0.0003974914,0.001670766,0.002419169,0.0009133334],"domain_scores_gemma":[0.997137,0.00008153765,0.000351615,0.001203475,0.0006424293,0.0005839966],"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":[0.00001615267,0.00004137276,0.0002580102,0.00005710981,0.000005064362,0.000007187368,0.00007339405,6.201153e-8,0.002738554,0.00008822502,0.9942337,0.002481207],"study_design_scores_gemma":[0.0002124207,0.0002692167,0.01491354,0.0004693852,0.00002333742,0.00004534949,0.00005802565,0.0007724363,0.000367396,0.0002363397,0.9820343,0.0005982655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01647228,0.002560134,0.0001378896,0.0001855393,0.08553654,0.0003653895,0.0001852415,0.0003553492,0.8942016],"genre_scores_gemma":[0.1236989,0.0004731811,0.002247105,0.0004649799,0.003708302,0.00001472472,0.00009423617,0.0001719724,0.8691266],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1072266,"threshold_uncertainty_score":0.9999625,"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."}}