{"id":"W7072062939","doi":"","title":"Tip Sheet - Staying Socially Connected (Gujarati)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004149165,0.000375899,0.0003436838,0.0009604947,0.002788772,0.001608031,0.000616215,0.0005912207,0.2497844],"category_scores_gemma":[0.001452809,0.0001956788,0.0002985388,0.001135133,0.0003123403,0.001102198,0.003001875,0.000688781,0.08135281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982325,"about_ca_system_score_gemma":0.0008746035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009181461,"about_ca_topic_score_gemma":0.04287587,"domain_scores_codex":[0.9998131,0.00003964435,0.00001092151,0.00002165111,0.00005756778,0.00005703394],"domain_scores_gemma":[0.9993001,0.0001069898,0.0000591424,0.00007948915,0.0001406912,0.0003136585],"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":[0.0001118472,0.0001817618,0.001385423,0.0005388876,0.000003519722,0.0004653188,0.006755704,0.00001755673,0.001398949,0.001770061,0.8428512,0.1445198],"study_design_scores_gemma":[0.0000198215,0.00007982202,0.009926559,0.0001281074,0.000003371123,0.0002894638,0.002384545,0.00001921199,0.0001960371,0.0002408544,0.9867005,0.00001173952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04922522,0.002509684,0.001578678,0.005615826,0.002995604,0.001198672,0.01759231,0.003911376,0.9153726],"genre_scores_gemma":[0.0983186,0.003642042,0.01042102,0.00567445,0.0006499677,0.00174214,0.009605771,0.001471423,0.8684745],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2497844,"threshold_uncertainty_score":0.8356119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009333695786553648,"score_gpt":0.2424178779527922,"score_spread":0.2330841821662385,"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."}}