{"id":"W2946287216","doi":"10.1111/ceo.13559","title":"Influence of presbyopia on smartphone usage among Chinese adults: A population study","year":2019,"lang":"en","type":"article","venue":"Clinical and Experimental Ophthalmology","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Ulverscroft Foundation; Queen's University Belfast","keywords":"Presbyopia; Medicine; Optometry; Logistic regression; Smartphone application; Population; Cohort; Visual acuity; Audiology; Ophthalmology; Environmental health; Multimedia; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002968557,0.0002040068,0.0007070478,0.00007284185,0.00006172017,0.000003625433,0.00007787819,0.000182026,0.00022475],"category_scores_gemma":[0.0001703494,0.0001473309,0.0001074071,0.0001104237,0.0003792998,0.00008738007,0.0001582268,0.0002430178,0.00005955841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001367567,"about_ca_system_score_gemma":0.00001111206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001954011,"about_ca_topic_score_gemma":8.452936e-7,"domain_scores_codex":[0.9983718,0.0001897612,0.0006282181,0.0004516409,0.0001485325,0.0002100303],"domain_scores_gemma":[0.9990919,0.0002928585,0.0001660611,0.0002823136,0.00004123104,0.0001256924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003762675,0.005681146,0.9889201,0.00005795172,0.0001329557,0.0001099315,0.0005716284,0.00001224002,0.0006778475,0.00001898836,0.00001140331,0.00004313395],"study_design_scores_gemma":[0.005074004,0.03163886,0.9617763,0.0001018979,0.00003411598,0.0002289021,0.0006399546,0.00003703238,0.0002956274,0.00004625803,0.000001900698,0.000125132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977085,0.0001673461,4.282616e-8,0.00004814664,0.0002845433,0.0009446812,0.000004123423,0.0000218484,0.0008207553],"genre_scores_gemma":[0.9992205,0.000007207937,0.00002603934,0.0001144276,0.00007213619,0.00004339705,0.0000141064,0.00001367646,0.0004884942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714378,"threshold_uncertainty_score":0.600798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295083806246057,"score_gpt":0.4193139756761982,"score_spread":0.3898055950515925,"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."}}