{"id":"W6997088810","doi":"","title":"Tip Sheet - Staying Socially Connected (Traditional Chinese)","year":2019,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loneliness; Social isolation; Isolation (microbiology); Variety (cybernetics); Immigration; Resource (disambiguation)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005919687,0.0007179118,0.0005081596,0.00118908,0.00268309,0.001492436,0.0007662734,0.0007364728,0.4494974],"category_scores_gemma":[0.001699547,0.000195009,0.000409869,0.001079628,0.0003841055,0.001809696,0.003003336,0.0009225568,0.1394967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005162649,"about_ca_system_score_gemma":0.001251671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003562712,"about_ca_topic_score_gemma":0.01464984,"domain_scores_codex":[0.9997671,0.00003384612,0.00001457862,0.00002510849,0.0000854356,0.00007391544],"domain_scores_gemma":[0.9991432,0.0001602464,0.00004483264,0.000101356,0.0002085217,0.0003417961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000881432,0.0002112251,0.0006891828,0.0004048633,0.000002538874,0.0002685391,0.002264897,0.00002229262,0.001073523,0.001372484,0.8472488,0.1463534],"study_design_scores_gemma":[0.00004264438,0.0001608006,0.006183597,0.0001711474,0.000004724674,0.0002473665,0.002506224,0.00007453828,0.0006226028,0.0006971842,0.9892696,0.00001963954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03807756,0.001204222,0.004366869,0.004289064,0.005242912,0.003757139,0.0150001,0.004619647,0.9234424],"genre_scores_gemma":[0.05505156,0.00201742,0.01330427,0.004113233,0.000855542,0.003526094,0.008079213,0.001132936,0.9119197],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4494974,"threshold_uncertainty_score":0.7852252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216818699001134,"score_gpt":0.2392174896303806,"score_spread":0.2270493026403692,"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."}}