{"id":"W3196578978","doi":"10.2139/ssrn.3532036","title":"Barriers to Economic Security: Disability, Employment, and Asset Disparities in Canada","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; University of Alberta","keywords":"Asset (computer security); Social security; Business; Economic security; Labour economics; Economics; Economic growth; Computer security; Computer science; Market economy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001263656,0.0003125848,0.0007758504,0.002379461,0.008383089,0.003471271,0.002283129,0.001306138,0.008107098],"category_scores_gemma":[0.005576428,0.0004016204,0.001056097,0.006719538,0.001627242,0.001189236,0.003552079,0.002688895,0.0003052645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0534691,"about_ca_system_score_gemma":0.1588795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979057,"about_ca_topic_score_gemma":0.9991338,"domain_scores_codex":[0.9976343,0.0001139851,0.0001429137,0.0002290958,0.0004152739,0.001464327],"domain_scores_gemma":[0.9950522,0.0003510212,0.0007107936,0.0001325414,0.001549018,0.00220449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001637166,0.0002206645,0.9605302,0.0001197077,0.0001240363,0.0002464253,0.005673049,0.0003044546,0.00008854001,0.004851509,0.009784292,0.01789348],"study_design_scores_gemma":[0.00002537545,0.00003375924,0.9723891,0.0003666161,0.00007542671,0.00008332073,0.01870567,0.0005023001,0.00005921265,0.0007804417,0.006930409,0.00004853886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708678,0.002937194,0.0001212395,0.009218722,0.0001198253,0.0000621804,0.00614243,0.00001191671,0.01051882],"genre_scores_gemma":[0.9943181,0.001450158,0.0001194274,0.0005195945,0.00002045689,0.00002427028,0.001061417,0.000008528799,0.002478056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0534691,"threshold_uncertainty_score":0.3879473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856187168841307,"score_gpt":0.3344180437604684,"score_spread":0.2858561720720553,"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."}}