{"id":"W4313272932","doi":"10.1016/j.socscimed.2022.115631","title":"Corrigendum to “Social resource patterns and health outcomes among Canadian LGBTQ2+ adults: A latent class analysis” [Soc Sci Med 314 (2022) 115476]","year":2022,"lang":"en","type":"erratum","venue":"Social Science & Medicine","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal","funders":"","keywords":"Latent class model; Social class; Gerontology; Class (philosophy); Resource (disambiguation); Psychology; Medicine; Sociology; Demography; Political science; Computer science; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004498109,0.001882596,0.003011861,0.004164084,0.007855399,0.003839853,0.004483962,0.00724686,0.1961013],"category_scores_gemma":[0.05728027,0.001361694,0.003146272,0.003917729,0.001682292,0.001745778,0.002934649,0.007619028,0.05030987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01291452,"about_ca_system_score_gemma":0.0266107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7381133,"about_ca_topic_score_gemma":0.8360937,"domain_scores_codex":[0.9957334,0.0006131981,0.0005598135,0.0004554864,0.001864099,0.0007739791],"domain_scores_gemma":[0.9674547,0.005509673,0.0006879964,0.001251346,0.02338939,0.001706988],"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":[0.000004105281,0.000002715175,0.00005292273,0.00001074294,0.00000198604,0.00002022024,0.00000656623,0.00000647574,0.000002103378,0.00006738025,0.9990622,0.0007625363],"study_design_scores_gemma":[0.0001319856,0.00003176285,0.009348664,0.0005658251,0.00008652923,0.0001810104,0.0003649145,0.0004894175,0.0001079608,0.001233122,0.9873556,0.0001031466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003608557,0.001561879,0.000433784,0.1518393,0.8153979,0.0001659786,0.01704724,0.0005504599,0.01264267],"genre_scores_gemma":[0.01060737,0.004605124,0.002891207,0.1819157,0.1127956,0.00103075,0.02104691,0.0008686998,0.6642387],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2618867,"threshold_uncertainty_score":0.6560243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04680936220207402,"score_gpt":0.3865383253361804,"score_spread":0.3397289631341064,"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."}}