{"id":"W7071190018","doi":"","title":"Representing Retirement, Aging, and Old Age During the COVID-19 Pandemic in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Population; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak","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":[0.00109615,0.000259665,0.0004861059,0.00139002,0.01363272,0.002849056,0.001659681,0.001166043,0.00622728],"category_scores_gemma":[0.002775181,0.0004540685,0.000467398,0.002675009,0.001473631,0.001321579,0.004341869,0.002458287,0.0004956023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08220725,"about_ca_system_score_gemma":0.1864154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997932,"about_ca_topic_score_gemma":0.9995289,"domain_scores_codex":[0.9982355,0.0001178423,0.00008542187,0.0001085806,0.0003368392,0.001115816],"domain_scores_gemma":[0.9950013,0.00009734899,0.0003640012,0.00005345519,0.001245898,0.003237951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001710358,0.0001962805,0.7917224,0.0002403626,0.00005661249,0.0006567361,0.07530523,0.0002166756,0.0003100702,0.001682598,0.09048345,0.03895858],"study_design_scores_gemma":[0.00001545933,0.00004554718,0.7919955,0.0003532509,0.00002202486,0.000100787,0.1628336,0.0002137755,0.00004852723,0.0002084621,0.04411943,0.00004368578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111997,0.004724911,0.0001915846,0.04460718,0.0008873502,0.0003583799,0.007719737,0.00003979825,0.03027127],"genre_scores_gemma":[0.9699106,0.003701078,0.0003242786,0.003519999,0.0001245037,0.0001530267,0.001553758,0.00002075047,0.02069197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08220725,"threshold_uncertainty_score":0.5964581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0860269097438975,"score_gpt":0.3201141229882718,"score_spread":0.2340872132443743,"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."}}