{"id":"W3164915367","doi":"10.2196/25679","title":"A Digital Mobile Community App for Caregivers in Singapore: Predevelopment and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tote board - Singapore","keywords":"Loneliness; Usability; Focus group; Psychology; Family caregivers; The Internet; Internet privacy; Digital health; Life expectancy; mHealth; Social media; Medical education; Health care; Nursing; Medicine; Psychological intervention; World Wide Web; Business; Computer science; Psychiatry; Population","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"],"consensus_categories":[],"category_scores_codex":[0.0008674613,0.0001367543,0.0002941065,0.00007133254,0.001458701,0.00002257826,0.0001059313,0.000125523,0.00003079766],"category_scores_gemma":[0.0002201535,0.0001438866,0.00003042894,0.0002912957,0.00009009716,0.0001317202,0.0000797358,0.0006649592,0.000007817579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006653217,"about_ca_system_score_gemma":0.0009218585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000162817,"about_ca_topic_score_gemma":0.0007297745,"domain_scores_codex":[0.9979109,0.0004839282,0.00059056,0.0003250014,0.000140759,0.0005488583],"domain_scores_gemma":[0.9981487,0.0008763433,0.0001398081,0.0004340339,0.0001800913,0.0002209722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000283833,0.003940456,0.414392,0.001589076,0.00001506405,0.000004129542,0.1011721,0.00001573662,0.00005498317,0.0006326782,0.005261961,0.472638],"study_design_scores_gemma":[0.005310158,0.0005423354,0.516175,0.0009109204,0.00002218423,0.000006041305,0.3274644,0.0002525863,0.00001850065,0.002614543,0.1463343,0.0003490538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825467,0.000178716,0.0002437659,0.0008573265,0.0002619425,0.010619,0.00006087212,0.00008650465,0.005145198],"genre_scores_gemma":[0.9797078,0.00001648425,0.0006530744,0.0002165746,0.00005907019,0.01857387,0.00009520644,0.00001958743,0.0006583155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.472289,"threshold_uncertainty_score":0.9998413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06375615482652566,"score_gpt":0.4580336590547546,"score_spread":0.3942775042282289,"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."}}