{"id":"W3182274430","doi":"","title":"Deep Learning for Detection of Keratoconus and Prediction of Crosslinking Efficacy","year":2021,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Ottawa","funders":"","keywords":"Keratoconus; Computer science; Artificial intelligence; Ophthalmology; Medicine; Cornea","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":[0.0007823458,0.0004843465,0.0005417846,0.0008668371,0.0001520501,0.0005131518,0.0004165558,0.0005913332,0.0009291309],"category_scores_gemma":[0.002048399,0.0001774901,0.0004770433,0.0003486047,0.0001634787,0.0003903878,0.0003590637,0.0007084014,0.0003055388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751599,"about_ca_system_score_gemma":0.0004686858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004063676,"about_ca_topic_score_gemma":0.004446777,"domain_scores_codex":[0.999778,0.0000434624,0.00001740225,0.0000518488,0.00005618448,0.00005315855],"domain_scores_gemma":[0.9990864,0.0004787286,0.000138699,0.00005849183,0.0001672946,0.00007028115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002435966,0.001293506,0.08827095,0.0003295176,0.0003909321,0.0003078465,0.00009360634,0.1298659,0.04206976,0.002057528,0.01387459,0.7190099],"study_design_scores_gemma":[0.00003602985,0.0001959192,0.01734742,0.00003255569,0.00006555667,0.0001208799,0.00001963336,0.9682922,0.01180888,0.001359742,0.0007019504,0.00001926276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368685,0.006042062,0.148683,0.000729133,0.0001508132,0.00008190532,0.002432817,0.001898007,0.003113647],"genre_scores_gemma":[0.9846008,0.0003917881,0.01292542,0.00006894339,0.00004546202,0.00002522291,0.0006792455,0.00001961105,0.001243529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004063676,"threshold_uncertainty_score":0.008080006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04414115394254364,"score_gpt":0.340473882498264,"score_spread":0.2963327285557203,"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."}}