{"id":"W4321457462","doi":"10.1016/j.maturitas.2023.02.002","title":"Profiles of socially isolated community-dwelling older adults during the COVID-19 pandemic: A latent class analysis","year":2023,"lang":"en","type":"article","venue":"Maturitas","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; McGill University Health Centre; University of Ottawa; Montreal General Hospital; Université du Québec en Outaouais; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Centre Hospitalier Universitaire de Québec","keywords":"Medicine; Latent class model; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Gerontology; Virology; Outbreak; Statistics; Internal medicine; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001236582,0.0003822598,0.0005055823,0.001194165,0.001277596,0.001665001,0.0007743306,0.0009346896,0.002720281],"category_scores_gemma":[0.003638861,0.0003673564,0.001217134,0.001732786,0.0005405477,0.001286638,0.002273862,0.001419347,0.000447643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007829402,"about_ca_system_score_gemma":0.000977893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03238454,"about_ca_topic_score_gemma":0.03968705,"domain_scores_codex":[0.9989672,0.0002471916,0.00009590613,0.0001950884,0.00009800853,0.0003966631],"domain_scores_gemma":[0.9984578,0.0001913687,0.0005670815,0.0001703022,0.0001755214,0.00043799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001364331,0.0001191328,0.997753,0.000007467604,0.00006634927,0.00001902161,0.0006086935,0.00005768523,0.00007883185,0.00008499638,0.0001859546,0.0008823786],"study_design_scores_gemma":[0.000005373065,0.00008858868,0.995231,0.00001414927,0.00002676339,0.00003347556,0.00351576,0.0007527862,0.00002199963,0.0001261745,0.000172844,0.00001110567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985454,0.00006655882,0.0001354877,0.00009346032,0.000008308265,0.00001525253,0.0008504536,0.000002369859,0.0002827575],"genre_scores_gemma":[0.9989842,0.00004558945,0.00005590399,0.00002272476,0.000007555868,0.00001953219,0.0006954788,0.000002406255,0.0001667828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238454,"threshold_uncertainty_score":0.06439209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05829635688137289,"score_gpt":0.3578070550643104,"score_spread":0.2995106981829375,"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."}}