{"id":"W4404473916","doi":"10.1111/opo.13416","title":"Cross‐population validation of the PreMO risk indicator for predicting myopia onset in children","year":2024,"lang":"en","type":"article","venue":"Ophthalmic and Physiological Optics","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Innovation and Technology Fund; Hong Kong Polytechnic University; Department for the Economy; College of Optometrists","keywords":"Ethnically diverse; Medicine; Optometry; Prospective cohort study; Cohort; Population; Demography; Pediatrics; Internal medicine; Environmental health","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":[0.01005537,0.0007850777,0.0007252573,0.000992904,0.0005209955,0.0008853893,0.0008304133,0.0006660974,0.0007604467],"category_scores_gemma":[0.01401847,0.0003321068,0.001061195,0.0006747404,0.0005144138,0.0004047224,0.001283102,0.0008881188,0.0004732846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005050162,"about_ca_system_score_gemma":0.0007166117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119773,"about_ca_topic_score_gemma":0.01043021,"domain_scores_codex":[0.9972633,0.001236009,0.0001663559,0.0007688059,0.0004056039,0.0001598877],"domain_scores_gemma":[0.9920281,0.002759799,0.001756695,0.001644417,0.001301177,0.0005098162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003506358,0.00005086905,0.9955215,0.00001144258,0.0002314661,0.00002727086,0.00009251515,0.0007665199,0.0002544981,0.00002446177,0.0001857372,0.002483032],"study_design_scores_gemma":[0.00004106097,0.0004165132,0.9927877,0.00002186971,0.0001346005,0.0001836687,0.0001225732,0.005255679,0.0004468125,0.00004333364,0.0005346098,0.00001150667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966149,0.0001749424,0.001342903,0.00002240535,0.00001643785,0.00004747403,0.001411478,0.00002493721,0.0003445133],"genre_scores_gemma":[0.9951633,0.00006516761,0.001111603,0.00002174356,0.00000932581,0.00005793431,0.003385105,0.00001156423,0.0001742988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119773,"threshold_uncertainty_score":0.05317855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03547192551793451,"score_gpt":0.3593998365812764,"score_spread":0.3239279110633419,"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."}}