{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008199849,0.0005551663,0.0006222724,0.000310813,0.00376481,0.0002670966,0.001139983,0.0007086098,0.001087168],"category_scores_gemma":[0.0006481613,0.0005944049,0.000375801,0.001246974,0.002040492,0.0009717215,0.0002173425,0.0008488408,0.0004839011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134666,"about_ca_system_score_gemma":0.004102811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009817558,"about_ca_topic_score_gemma":0.0007395815,"domain_scores_codex":[0.9948967,0.0004634469,0.0008079649,0.001057477,0.001736654,0.001037764],"domain_scores_gemma":[0.9975113,0.00049991,0.0003793056,0.0006598255,0.0005329031,0.0004167797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006229081,0.001089256,0.200172,0.0001965723,0.0007837596,0.0008266925,0.01268149,0.004318103,0.02148519,0.7396766,0.01601808,0.002129356],"study_design_scores_gemma":[0.006410477,0.0005449904,0.2068483,0.0005307248,0.0001766883,0.0006204079,0.01676151,0.001650289,0.001664946,0.01826277,0.743134,0.003394927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756416,0.0001509272,0.0004748964,0.001758807,0.003574965,0.0009738713,0.0001015865,0.001105984,0.2162173],"genre_scores_gemma":[0.9768183,0.00001612149,0.001477221,0.0005397247,0.001798238,0.0001283152,0.00007075255,0.00007263893,0.01907867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7271159,"threshold_uncertainty_score":0.999826,"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."}}