{"id":"W2940798001","doi":"10.2196/12276","title":"Mobile Support for Older Adults and Their Caregivers: Dyad Usability Study","year":2019,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Maryland Technology Enterprise Institute; A. James Clark School of Engineering; Maryland Industrial Partnerships","keywords":"Usability; Dyad; System usability scale; Digital health; Psychology; Gerontology; Medicine; Web usability; Health care; Computer science; Developmental psychology","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":[0.0005124698,0.0001289175,0.0001995038,0.0000708797,0.0002761857,0.000049696,0.0002721556,0.0001076192,0.0001349945],"category_scores_gemma":[0.00006264014,0.0001143998,0.00005461863,0.0001657975,0.0001874193,0.0002501892,0.0001097861,0.0001287477,0.00002752153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008543672,"about_ca_system_score_gemma":0.00007173974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006901914,"about_ca_topic_score_gemma":0.001077046,"domain_scores_codex":[0.9987968,0.00007402577,0.0001543233,0.0004521944,0.0001551136,0.0003675504],"domain_scores_gemma":[0.999306,0.0001277303,0.00006624087,0.0003324969,0.00009219094,0.00007534175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002799305,0.0003084271,0.5323927,0.00007877597,0.00003377396,0.000002860347,0.4128741,0.000001075313,0.0000749638,0.0002265107,0.001162909,0.05281597],"study_design_scores_gemma":[0.003369136,0.000592316,0.2397391,0.00009369801,0.00002002516,0.000002116675,0.716731,0.00008654998,0.0003966888,0.0005704797,0.03796817,0.0004307725],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933817,0.00005775603,0.00003391794,0.0002394138,0.0002203279,0.003640781,0.00001232616,0.0002792496,0.002134545],"genre_scores_gemma":[0.9982395,0.000006427492,0.0000955544,0.00005271376,0.00005984238,0.0004310369,0.000003012354,0.00001393233,0.00109804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3038569,"threshold_uncertainty_score":0.4665088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134465195108996,"score_gpt":0.3005220256011182,"score_spread":0.2891773736500283,"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."}}