{"id":"W1503142795","doi":"","title":"Describing Disability among High and Low Income Status Older Adults in Canada","year":2000,"lang":"en","type":"article","venue":"Social and Economic Dimensions of an Aging Population Research Papers","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Gerontology; Population; Rheumatism; Low income; Public health; Environmental health","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":[0.0007311427,0.0001386645,0.0002500785,0.001982826,0.00218837,0.0009461729,0.0005377626,0.0002339631,0.00121844],"category_scores_gemma":[0.002794153,0.0001062854,0.0002350489,0.002699137,0.0005367949,0.0003966338,0.0009322495,0.0004048501,0.0001020255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0102059,"about_ca_system_score_gemma":0.01639344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662687,"about_ca_topic_score_gemma":0.9876426,"domain_scores_codex":[0.9990723,0.00006970391,0.00007882505,0.00004816958,0.0004180221,0.0003128767],"domain_scores_gemma":[0.998153,0.0001182242,0.0003806203,0.00002742134,0.000939326,0.0003813175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003477238,0.00003977668,0.9838743,0.00005018571,0.00001589842,0.00009092252,0.001957972,0.00003352274,0.00008057793,0.0001087645,0.001261337,0.01245197],"study_design_scores_gemma":[0.000003782883,0.00001964291,0.994233,0.00003927722,0.00001064353,0.00008298511,0.00399117,0.00009712199,0.00004579212,0.00004934649,0.00142,0.000007248806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919255,0.0008012271,0.00007553428,0.0004954824,0.00001396765,0.00005712806,0.001850852,0.000004360306,0.004775963],"genre_scores_gemma":[0.9979848,0.0004975641,0.0001262426,0.0001280945,0.000005396458,0.00001379962,0.000642002,0.000001131163,0.0006009521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03373128,"threshold_uncertainty_score":0.07404941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359170552434312,"score_gpt":0.3365521475928972,"score_spread":0.300635092349466,"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."}}