{"id":"W2769274795","doi":"10.1177/0733464817741369","title":"Can Digital Technology Enhance Social Connectedness Among Older Adults? A Feasibility Study","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Gerontology","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":386,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Government of Canada; AGE-WELL","keywords":"Social connectedness; Loneliness; Thematic analysis; Psychological intervention; Psychology; Usability; Social isolation; Social support; Qualitative research; Interpersonal ties; Applied psychology; Gerontology; Developmental psychology; Social psychology; Medicine; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0008802248,0.0002591337,0.0008064588,0.0003298273,0.001640931,0.0001972919,0.001964061,0.0007021854,0.00007121011],"category_scores_gemma":[0.0009919442,0.0002459524,0.0001431593,0.0002323228,0.0028631,0.0004487642,0.0002782635,0.0008771196,0.00001528666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003194091,"about_ca_system_score_gemma":0.0003969643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004745302,"about_ca_topic_score_gemma":0.02857285,"domain_scores_codex":[0.9974719,0.0001028549,0.0007551574,0.0004741823,0.0004833181,0.0007125634],"domain_scores_gemma":[0.9968773,0.0001252817,0.001654947,0.0006688631,0.0005101741,0.0001634737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001050863,0.002641414,0.7718309,0.00003273542,0.0004431454,0.0004400872,0.09194322,8.668716e-7,0.0002321489,0.0205235,0.001333417,0.1095278],"study_design_scores_gemma":[0.005294251,0.0006442298,0.8542621,0.00005364094,0.0001173164,0.00005096708,0.1195497,0.000002533003,0.0005707809,0.01787876,0.001061553,0.0005141721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840206,0.0000471762,0.00009638654,0.006839026,0.0006818086,0.0008341048,0.000008436332,0.0001499383,0.007322537],"genre_scores_gemma":[0.999253,0.000008668173,0.0001469604,0.0000489279,0.0003565584,0.0000375819,7.727606e-7,0.0000222991,0.000125277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090136,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300266741653898,"score_gpt":0.3305788979989015,"score_spread":0.3075762305823625,"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."}}