{"id":"W4221081933","doi":"10.1016/j.ajo.2022.03.023","title":"Computational Modeling of Ophthalmic Procedures","year":2022,"lang":"en","type":"article","venue":"American Journal of Ophthalmology","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Altasciences (Canada)","funders":"National Eye Institute","keywords":"Retina; Retinal detachment; Retinal Tear; Ophthalmology; Retinal pigment epithelium; Retinal; Multiphysics; Optometry; Computer science; Medicine; Finite element method; Physics; Neuroscience; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003627028,0.00008359652,0.0004826778,0.0002398752,0.00005427519,0.000001967383,0.0001184449,0.00001402529,0.0004373893],"category_scores_gemma":[0.0001145205,0.00007166892,0.0001966703,0.0002702697,0.0001609033,0.00003211625,0.00006187486,0.0002694803,0.000001479874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004291219,"about_ca_system_score_gemma":0.0004161405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002759804,"about_ca_topic_score_gemma":1.234411e-8,"domain_scores_codex":[0.9987933,0.0001258665,0.0004822706,0.000100757,0.0003517262,0.0001460516],"domain_scores_gemma":[0.9989777,0.0001053593,0.0005085588,0.00008556507,0.0002328363,0.00009003039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"case_report","study_design_scores_codex":[0.006663649,0.001735295,0.2955822,0.0002582894,0.001045414,0.02675747,0.00131999,0.6488939,0.008661538,0.0008379308,0.00081163,0.007432676],"study_design_scores_gemma":[0.001337852,0.009397611,0.03127639,0.00008344391,0.0001785694,0.9293014,0.002758944,0.02231394,0.0001773059,0.002794983,0.0001836183,0.0001959628],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966114,0.0003458084,0.0005172268,0.0005928143,0.0001559098,0.00006008505,0.000004129614,0.000003301614,0.001709292],"genre_scores_gemma":[0.9959027,0.000007121441,0.003798241,0.0001132379,0.00007235566,0.000003614864,0.000004913569,0.00001343471,0.00008437417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9025439,"threshold_uncertainty_score":0.4789106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377337750413436,"score_gpt":0.3084058884485954,"score_spread":0.284632510944461,"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."}}