{"id":"W4385565060","doi":"10.2196/46738","title":"Co-Creating a Digital Life-Integrated Self-Assessment for Older Adults: User Experience Study","year":2023,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Heidelberg","keywords":"Thematic analysis; Psychology; Intervention (counseling); Digital health; Applied psychology; Medicine; Qualitative research; Medical education; Gerontology; Nursing; Health care","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":[0.0004439159,0.0001950604,0.0002370154,0.0002135854,0.0008989997,0.0003254868,0.0004877942,0.00011483,0.00004730143],"category_scores_gemma":[0.0002883422,0.0001869183,0.00007992661,0.001001439,0.000124359,0.0005958356,0.00008971601,0.00020792,0.0000613262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308002,"about_ca_system_score_gemma":0.0002624746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004531192,"about_ca_topic_score_gemma":0.0002934392,"domain_scores_codex":[0.9979585,0.00007893964,0.0003124641,0.0005364759,0.000447779,0.0006657958],"domain_scores_gemma":[0.9989796,0.0002955688,0.000123408,0.0002996362,0.0001548477,0.0001469687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002192953,0.000493845,0.5938617,0.00003660913,0.00007677194,0.00003632838,0.3837312,0.000004962859,0.00006151154,0.0007621486,0.003713517,0.01719947],"study_design_scores_gemma":[0.002325121,0.0001488239,0.1825104,0.0002464723,0.00002160102,0.000001473521,0.7975318,0.00127902,0.0001473744,0.0001156885,0.0151898,0.0004824009],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908348,0.00001291454,0.000519532,0.0006424041,0.0002078734,0.002359893,0.00001941513,0.002700115,0.002703098],"genre_scores_gemma":[0.99643,0.00000511509,0.0008811327,0.00009379715,0.000132994,0.001604487,0.00001999707,0.00003530879,0.0007971699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4138006,"threshold_uncertainty_score":0.7622305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487786646035672,"score_gpt":0.3578872582060937,"score_spread":0.343009391745737,"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."}}