{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008281365,0.0000630104,0.0001657515,0.00004842131,0.0007820381,0.00004185206,0.00006232,0.00005031061,0.0003046486],"category_scores_gemma":[0.00009138622,0.00006038835,0.00001656931,0.00009157226,0.0003406278,0.0002619916,0.00003286409,0.000139996,7.088915e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006635121,"about_ca_system_score_gemma":0.0004949265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962938,"about_ca_topic_score_gemma":0.9953616,"domain_scores_codex":[0.9986359,0.0002751641,0.0002452708,0.0002071065,0.0001741092,0.0004623984],"domain_scores_gemma":[0.9993747,0.0002140002,0.00003653875,0.0000737467,0.00002177009,0.0002792568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001777191,0.00001379242,0.959681,0.00003077327,0.000003016432,7.810432e-7,0.005676072,0.00007791502,4.058366e-7,0.0009445392,0.00001927636,0.03353464],"study_design_scores_gemma":[0.0002634591,0.000006303139,0.979872,0.00007558418,0.00000127851,4.841278e-8,0.01898582,0.000323821,7.480989e-7,0.0002635258,0.0001364709,0.00007092967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972361,0.00002974833,1.119354e-8,0.001796721,0.00006678577,0.0002094115,0.00001850811,0.000008309671,0.000634453],"genre_scores_gemma":[0.9995058,0.0002152763,0.00002160428,0.00009768735,0.00004650598,0.000006930527,0.00001213225,0.000005581735,0.00008854898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03346371,"threshold_uncertainty_score":0.6014884,"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."}}