{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002062928,0.000129,0.0003227581,0.00009502438,0.0008652015,0.00001395267,0.00008653343,0.0001317745,0.0001617743],"category_scores_gemma":[0.0002931543,0.0001153434,0.00003843893,0.0002367954,0.00002538836,0.00008319406,0.00006598522,0.0003688252,0.00004477335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022398,"about_ca_system_score_gemma":0.001001235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019369,"about_ca_topic_score_gemma":0.0002879554,"domain_scores_codex":[0.9974122,0.0006121288,0.0007609536,0.0003955799,0.0003261949,0.0004929148],"domain_scores_gemma":[0.9977105,0.0007191008,0.0002010511,0.0003960515,0.0007009361,0.0002723242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000258541,0.001045903,0.02253279,0.721655,0.0001295549,0.000007062361,0.1008854,0.0005002408,0.0004802826,0.01209579,0.0210855,0.1193239],"study_design_scores_gemma":[0.02302329,0.0005790375,0.06560631,0.1134009,0.0006455034,0.00004621541,0.3154323,0.4377292,0.0003461816,0.002979727,0.03877689,0.001434478],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951509,0.00955425,0.002106236,0.001412664,0.0005434263,0.03408845,0.0001112816,0.0001751764,0.0004994923],"genre_scores_gemma":[0.8658893,0.0003482584,0.004344687,0.002070544,0.0004005835,0.1243075,0.0004445266,0.00004947669,0.002145149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6082542,"threshold_uncertainty_score":0.6654518,"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."}}