{"id":"W2793590349","doi":"10.1097/ico.0000000000001524","title":"Nomogram to Predict Graft Thickness in Descemet Stripping Automated Endothelial Keratoplasty: An Eye Bank Study","year":2018,"lang":"en","type":"article","venue":"Cornea","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Bank of Canada; Quest University Canada; Queen's University","funders":"","keywords":"Microkeratome; Eye bank; Nomogram; Medicine; Ophthalmology; Perforation; Keratoconus; Cornea; Surgery; Keratomileusis; Materials science; Internal medicine","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":[0.004444584,0.000740087,0.0006857775,0.002850732,0.0004920149,0.001319071,0.0005870714,0.0005450233,0.0009031043],"category_scores_gemma":[0.0134688,0.0001921791,0.0009539052,0.001397236,0.0003191732,0.001076865,0.0006014503,0.0005700945,0.0003774202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006703735,"about_ca_system_score_gemma":0.001016572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003799979,"about_ca_topic_score_gemma":0.003648072,"domain_scores_codex":[0.9988669,0.0004286666,0.0001431452,0.0001385914,0.0003349857,0.00008771729],"domain_scores_gemma":[0.9903029,0.004582305,0.00209337,0.0006073222,0.001720856,0.000693374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002631287,0.00004023029,0.9929879,0.00002041412,0.00005894979,0.0001210872,0.00003960484,0.0005870941,0.0001616706,0.00002575298,0.0002572472,0.005436858],"study_design_scores_gemma":[0.00005380617,0.0007217933,0.963157,0.0000642895,0.0002667586,0.001572997,0.0004835052,0.03077399,0.0008213723,0.0001258801,0.001926722,0.00003179494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946643,0.0007508359,0.002895749,0.0001290303,0.00004022319,0.00008249075,0.0006491576,0.0000578728,0.0007304538],"genre_scores_gemma":[0.9966617,0.0002729104,0.002121331,0.00002960829,0.00002627197,0.0000466705,0.0007250974,0.00001194862,0.000104488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004444584,"threshold_uncertainty_score":0.02350551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639405332913244,"score_gpt":0.3136827434323395,"score_spread":0.2872886901032071,"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."}}