{"id":"W4407151590","doi":"10.1016/j.jcjo.2025.01.005","title":"Accuracy of keratoconus-specific formulae compared to standard formulae for intraocular lens power calculation in patients with keratoconus","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Keratoconus; Medicine; Ophthalmology; Cataract surgery; Intraocular lens; Mean squared prediction error; Intraocular lens power calculation; Cornea; Mathematics; Keratometer; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002993396,0.0004940025,0.0007359929,0.0009562593,0.0002707614,0.001073582,0.000645876,0.0005919012,0.000753778],"category_scores_gemma":[0.02422598,0.000269473,0.0006167041,0.0008741632,0.0002701351,0.00074953,0.0006166306,0.000448249,0.0002418269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000686842,"about_ca_system_score_gemma":0.0005310962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005588444,"about_ca_topic_score_gemma":0.005655678,"domain_scores_codex":[0.9979803,0.0006310791,0.0003346874,0.0003625321,0.0006083911,0.00008307607],"domain_scores_gemma":[0.9897131,0.005596573,0.001491306,0.0009847038,0.002043698,0.0001707093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00280655,0.00008464255,0.8988365,0.0002395336,0.0005991737,0.0001750823,0.0004545926,0.003671792,0.002132313,0.0003238022,0.001787475,0.08888856],"study_design_scores_gemma":[0.0002027431,0.000671844,0.9573674,0.0001002182,0.0005136745,0.001221379,0.0002630229,0.03479528,0.003291201,0.0004714691,0.001050139,0.00005170413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909451,0.002560958,0.003639319,0.0001212098,0.00009382991,0.00003283358,0.000422662,0.0002258078,0.001958231],"genre_scores_gemma":[0.9974209,0.0002321737,0.001857219,0.00003051899,0.00001317049,0.00001012286,0.0002117004,0.00002319837,0.0002009909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005588444,"threshold_uncertainty_score":0.01583076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741371666912846,"score_gpt":0.2773969914226208,"score_spread":0.2599832747534924,"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."}}