{"id":"W3132992523","doi":"10.2196/23313","title":"Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores","year":2021,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile apps; App store; Internet privacy; Quality (philosophy); Mobile device; Population; Obligation; Computer science; Medicine; World Wide Web; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01534677,0.001421108,0.007508282,0.01490498,0.0007621824,0.003015483,0.001829001,0.00154417,0.005152115],"category_scores_gemma":[0.06506826,0.0008980844,0.006841876,0.01058926,0.001055004,0.00307727,0.002425551,0.0009383717,0.0005803693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003280325,"about_ca_system_score_gemma":0.01297632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00690244,"about_ca_topic_score_gemma":0.02734175,"domain_scores_codex":[0.9856882,0.005039806,0.005863746,0.0006508613,0.00243953,0.0003178225],"domain_scores_gemma":[0.9440547,0.03614886,0.01120207,0.001005472,0.006839364,0.0007495632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0004262702,0.00003360662,0.001371927,0.943163,0.006672488,0.0001059416,0.0004703436,0.00005354019,0.0002113726,0.0001371428,0.00130323,0.04605103],"study_design_scores_gemma":[0.000591909,0.0006500247,0.006439373,0.9270117,0.0510505,0.0003132477,0.0006783245,0.000115252,0.0002344723,0.0002298326,0.01264009,0.00004514439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009707366,0.9772537,0.0008706761,0.0007689949,0.0001951539,0.006037413,0.003668327,0.00007442298,0.001423921],"genre_scores_gemma":[0.05885485,0.9264725,0.004152508,0.001179697,0.0001265029,0.007074561,0.001635266,0.00003407521,0.0004699824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01534677,"threshold_uncertainty_score":0.08116245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06777212013745429,"score_gpt":0.4881556414718481,"score_spread":0.4203835213343938,"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."}}