{"id":"W4367849745","doi":"10.12927/hcq.2023.27057","title":"Innovations to Address Social Isolation for Elderly Canadians Aging at Home","year":2023,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Loneliness; Social isolation; Isolation (microbiology); Metropolitan area; Public relations; Pandemic; Public health; Health care; Mental health; Nursing; Gerontology; Psychology; Sociology; Coronavirus disease 2019 (COVID-19); Political science; Medicine; Social psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00699588,0.0006894529,0.000462271,0.001881133,0.01418753,0.004031139,0.002804867,0.002913851,0.012191],"category_scores_gemma":[0.01967971,0.0002037325,0.001524609,0.001374692,0.003423988,0.002130877,0.009285666,0.005239207,0.001080354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03648333,"about_ca_system_score_gemma":0.2612357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8305432,"about_ca_topic_score_gemma":0.9414081,"domain_scores_codex":[0.9952635,0.001179289,0.0001527496,0.0002225427,0.001493841,0.001688106],"domain_scores_gemma":[0.9854387,0.0008367556,0.0004090568,0.0003260905,0.005613858,0.007375538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009949738,0.001007805,0.01170169,0.001333743,0.0001052775,0.0007044619,0.02918781,0.0004862649,0.0006023376,0.01989614,0.4084738,0.5264012],"study_design_scores_gemma":[0.000218431,0.0004128471,0.03000145,0.004120671,0.0001835313,0.0002351683,0.05397777,0.0005403373,0.0003638458,0.01022873,0.8995761,0.0001411114],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05445842,0.02309578,0.004995347,0.7706889,0.009892659,0.001250828,0.0005401706,0.0004145484,0.1346634],"genre_scores_gemma":[0.6484389,0.06477936,0.04324367,0.1753287,0.004862575,0.001883304,0.001037601,0.0002249099,0.06020106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1694568,"threshold_uncertainty_score":0.3409095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06032733011381459,"score_gpt":0.3899931708240909,"score_spread":0.3296658407102763,"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."}}