{"id":"W4324294111","doi":"10.2196/37329","title":"Evaluating Mobile Apps Targeting Older Adults: Descriptive Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Mobile apps; Privacy policy; Descriptive statistics; App store; Data collection; Mobile device; Information sensitivity; Targeted advertising; Business; Medicine; Computer science; Information privacy; Psychology; Advertising; World Wide Web; Computer security","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01160033,0.0001820883,0.0002605921,0.000830016,0.002484384,0.0001779656,0.0009173575,0.0001995323,0.000273945],"category_scores_gemma":[0.002092771,0.0001683858,0.00007757905,0.00403064,0.0007926543,0.0008629797,0.0006725311,0.001095521,0.00210892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005721448,"about_ca_system_score_gemma":0.0003754709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205125,"about_ca_topic_score_gemma":0.0007094818,"domain_scores_codex":[0.9930225,0.002201415,0.0004419917,0.0005138339,0.002356819,0.001463442],"domain_scores_gemma":[0.9971546,0.001042603,0.0001218207,0.0003797421,0.001107366,0.0001938677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005832921,0.0004559032,0.006223311,0.00004620328,0.00004921518,0.0000253756,0.9151498,0.00001446067,0.0001629265,0.0008284227,0.01536328,0.06162277],"study_design_scores_gemma":[0.001222784,0.0008682305,0.02282779,0.0001780051,0.000004534508,5.742528e-7,0.9677231,0.001370984,0.0003224386,0.001092169,0.004159554,0.000229825],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870319,0.0001070929,0.00002952289,0.0004834823,0.0002390711,0.004023873,0.00001408106,0.0009273146,0.007143598],"genre_scores_gemma":[0.9951234,0.00005747088,0.0002069287,0.00001445466,0.0001557308,0.003227134,0.0000145498,0.00003174537,0.001168521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06139295,"threshold_uncertainty_score":0.9988142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106462346023058,"score_gpt":0.4847446775140719,"score_spread":0.3740984429117661,"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."}}