{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005431266,0.0004035538,0.0003299284,0.0008463491,0.0008125037,0.0004927238,0.0003291461,0.0005125009,0.001552293],"category_scores_gemma":[0.001013373,0.0003250479,0.0005416152,0.001342809,0.0003320663,0.0004889787,0.0004217938,0.0003888401,0.0002395023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360548,"about_ca_system_score_gemma":0.0009832624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05058709,"about_ca_topic_score_gemma":0.05433368,"domain_scores_codex":[0.9996678,0.00004312189,0.00004774842,0.0000928259,0.00007416263,0.00007438015],"domain_scores_gemma":[0.9994486,0.00005425238,0.0001774944,0.00005164624,0.0001035272,0.0001644496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002508109,0.00002811015,0.9987581,0.00001257837,0.00002734309,0.00006084777,0.0002691066,0.000008947358,0.0001525993,0.000008375642,0.00005194619,0.0005970343],"study_design_scores_gemma":[0.000001940992,0.00003644696,0.9995717,0.000003054555,0.00001302403,0.00004737433,0.0002280224,0.0000348147,0.000009419025,0.000005000184,0.00004733346,0.000001739283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993192,0.00009545204,0.00002191544,0.00003470654,0.000002874337,0.00001554325,0.0002283782,0.000001218752,0.0002807836],"genre_scores_gemma":[0.9995326,0.00007269368,0.00002949334,0.00003341242,0.000004633499,0.00001568593,0.00018899,6.098439e-7,0.0001219104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05058709,"threshold_uncertainty_score":0.1005853,"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."}}