{"id":"W2044944647","doi":"10.1145/2661334.2661375","title":"Technology to reduce social isolation and loneliness","year":2014,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College; Ontario College of Art and Design; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Loneliness; Social isolation; Isolation (microbiology); Software deployment; Vulnerability (computing); Psychology; Social support; Stressor; Gerontology; Internet privacy; Computer science; Social psychology; Medicine; Computer security; Clinical psychology; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001115958,0.0004321884,0.0002335773,0.0008233978,0.0007424693,0.001423916,0.0004531518,0.0006717226,0.00469985],"category_scores_gemma":[0.007361977,0.0001227489,0.0004494062,0.0003190077,0.0006153985,0.00153327,0.002110349,0.0003906229,0.0005483763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301545,"about_ca_system_score_gemma":0.0004048371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003631785,"about_ca_topic_score_gemma":0.0006199949,"domain_scores_codex":[0.9990733,0.0005274172,0.00006233547,0.00007622295,0.0001661796,0.00009466344],"domain_scores_gemma":[0.998584,0.0008168701,0.0001303738,0.0001759224,0.0001330031,0.0001598465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004821802,0.002235475,0.03507062,0.002734597,0.0001767314,0.0009985321,0.02405562,0.0008490772,0.01374109,0.009186421,0.01616119,0.8943084],"study_design_scores_gemma":[0.0007285106,0.02648475,0.3261424,0.004807931,0.001384008,0.01064599,0.06555469,0.005922461,0.02556943,0.04305066,0.4893716,0.0003374141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9078409,0.006339536,0.02020574,0.003481973,0.0004426739,0.0005847001,0.0001511226,0.0009053753,0.06004796],"genre_scores_gemma":[0.9800951,0.002500919,0.0126811,0.0005560411,0.0000906386,0.0003089854,0.00008131893,0.00003776311,0.003648137],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00469985,"threshold_uncertainty_score":0.01572257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147584565581751,"score_gpt":0.3194430434204545,"score_spread":0.3046845868622794,"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."}}