{"id":"W4403337191","doi":"10.1167/tvst.13.10.22","title":"Impact of the Minimization of Standard Deviation Before Zeroization of the Mean Bias on the Performance of IOL Power Formulas","year":2024,"lang":"en","type":"article","venue":"Translational Vision Science & Technology","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Standard deviation; Minification; Mathematics; Geometric standard deviation; Absolute deviation; Statistics; Computer science; Mathematical optimization","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":[0.0006425965,0.00008876882,0.0001898013,0.0003474983,0.0001577349,0.000003289204,0.0002542652,0.00009426982,0.00005066277],"category_scores_gemma":[0.0002497832,0.00003868168,0.000120439,0.002139936,0.00137711,0.0001364404,0.00004486995,0.0001309844,8.448716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004094345,"about_ca_system_score_gemma":0.0002756469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004279006,"about_ca_topic_score_gemma":0.000002299274,"domain_scores_codex":[0.9987119,0.00003747157,0.0003952294,0.0001524169,0.0005890736,0.0001138755],"domain_scores_gemma":[0.998939,0.0001360169,0.0002326641,0.0002733911,0.0004068816,0.00001198339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003652183,0.0002532146,0.8797605,0.0001553139,0.00008124182,1.667226e-7,0.002679191,0.002654553,0.0690574,0.03975372,0.00004994552,0.005189528],"study_design_scores_gemma":[0.0003122718,0.00251125,0.8784372,0.0004045954,0.00004806277,0.000009556701,0.000144217,0.009143671,0.1065029,0.00243351,0.0000159054,0.00003694593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957907,0.00008327761,0.0005044499,0.002867019,0.00010713,0.0004265114,0.00003249156,0.00001409991,0.0001743461],"genre_scores_gemma":[0.9998229,0.00001518825,0.0001023081,0.00001659678,0.000004770623,0.000004915088,0.000002801182,0.000005037211,0.00002548295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03744547,"threshold_uncertainty_score":0.5074021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073335907600453,"score_gpt":0.3766542713733369,"score_spread":0.3459209122973324,"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."}}