{"id":"W2936364305","doi":"10.2196/13713","title":"“Call a Teenager… That’s What I Do!” - Grandchildren Help Older Adults Use New Technologies: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Qualitative research; Psychology; Sociology; Developmental psychology; Gerontology; Medicine; Anthropology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008878199,0.00034944,0.0004645017,0.0004424323,0.0004553641,0.0006238061,0.001103569,0.0003832031,0.0001342514],"category_scores_gemma":[0.0003506316,0.000318084,0.0001394104,0.0009473333,0.0003835227,0.002260803,0.0003823669,0.0006457349,0.0003915919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804335,"about_ca_system_score_gemma":0.0001506656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003921636,"about_ca_topic_score_gemma":0.002658599,"domain_scores_codex":[0.9966837,0.0004150674,0.0003662459,0.0009146184,0.0007594037,0.0008609434],"domain_scores_gemma":[0.9981064,0.0005148688,0.0002417786,0.0008835893,0.0001191927,0.0001341266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004838764,0.0003605838,0.1037152,0.00002584273,0.0001085189,0.0000309259,0.8353634,0.000001396012,0.00002324425,0.001102037,0.004895938,0.05432451],"study_design_scores_gemma":[0.002450543,0.0001526241,0.02835446,0.0007125114,0.00002834305,0.000002720435,0.9601712,0.000006210075,0.0001446392,0.001288467,0.006171357,0.0005169119],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986262,0.0007598573,0.00008283761,0.005554376,0.0005522363,0.003520719,0.000005778567,0.002524903,0.0007372412],"genre_scores_gemma":[0.9948722,0.0002636051,0.0004752969,0.000213273,0.0000796302,0.0001776607,0.000005249659,0.0000466251,0.003866486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1248078,"threshold_uncertainty_score":0.9999271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256468687622336,"score_gpt":0.3392530693017805,"score_spread":0.3136062005395469,"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."}}