{"id":"W6987621411","doi":"","title":"Tip Sheet - Staying Socially Connected (Simplified 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":[0.0005697629,0.0007746055,0.000527953,0.001098642,0.00211794,0.001415532,0.0007915149,0.0007965443,0.5341392],"category_scores_gemma":[0.002015575,0.0002225614,0.0004240523,0.0009620123,0.0003626939,0.001917819,0.002990859,0.0009945608,0.2143852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004823869,"about_ca_system_score_gemma":0.001130341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483113,"about_ca_topic_score_gemma":0.01318268,"domain_scores_codex":[0.9997697,0.00003979164,0.00001583344,0.00002379104,0.0000817652,0.00006909204],"domain_scores_gemma":[0.9990621,0.0002131793,0.00005079385,0.0001138888,0.0002401049,0.0003200005],"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":[0.00007211162,0.0001161873,0.0002819834,0.0002889454,0.000001626727,0.0001690995,0.0009293419,0.00001963663,0.0007444384,0.0008969443,0.9046887,0.09179103],"study_design_scores_gemma":[0.00004193341,0.000114769,0.004123045,0.0001502781,0.000003663031,0.0001864938,0.001177207,0.00007059045,0.0004931851,0.0005969456,0.9930246,0.00001738356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01960939,0.0008954235,0.004247128,0.003926152,0.005194771,0.003437095,0.01756791,0.006709672,0.9384125],"genre_scores_gemma":[0.03358424,0.001590222,0.01288634,0.003945504,0.0008249988,0.003634144,0.008720382,0.001742684,0.9330716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5341392,"threshold_uncertainty_score":0.6644939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007881648558346607,"score_gpt":0.2480398573330344,"score_spread":0.2401582087746877,"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."}}