{"id":"W2626874461","doi":"10.2196/mhealth.7055","title":"Mobile Apps for Eye Care in Canada: An Analysis of the iTunes Store","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto","funders":"","keywords":"Mobile apps; Internet privacy; Mobile device; World Wide Web; Advertising; Computer science; Optometry; Medicine; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004285027,0.0007885954,0.00139251,0.02651816,0.003973447,0.004802313,0.00181623,0.001297415,0.0046831],"category_scores_gemma":[0.03333166,0.0005698603,0.001896953,0.04584397,0.001228148,0.00191581,0.002562614,0.001209184,0.0009392228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03499388,"about_ca_system_score_gemma":0.1283233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9702833,"about_ca_topic_score_gemma":0.9793449,"domain_scores_codex":[0.991651,0.0005877318,0.001457306,0.0005769742,0.00491076,0.0008161887],"domain_scores_gemma":[0.933973,0.01527286,0.008211205,0.0007962881,0.03853451,0.003212163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001878347,0.0003465296,0.3739238,0.08982188,0.0008820185,0.007330589,0.03678507,0.0003454925,0.002222133,0.004053383,0.09866258,0.3837481],"study_design_scores_gemma":[0.0001175595,0.0002160432,0.7659132,0.03720011,0.001776859,0.002387822,0.02417749,0.0007622413,0.0007335004,0.0002183642,0.1661998,0.0002969215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4473019,0.3265735,0.001029466,0.01370821,0.0004281296,0.002818394,0.1591306,0.0003273777,0.04868233],"genre_scores_gemma":[0.6475942,0.2813435,0.004514257,0.007986838,0.0001885396,0.001374656,0.04326629,0.0002500976,0.01348165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03499388,"threshold_uncertainty_score":0.2538996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06508316815458698,"score_gpt":0.4511017754832284,"score_spread":0.3860186073286414,"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."}}