{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001555985,0.0001476278,0.000237498,0.00002597464,0.0003990982,0.0001355152,0.0003194508,0.00004499008,0.0001868934],"category_scores_gemma":[0.0002915656,0.0001503185,0.00005261702,0.0001266478,0.0001864359,0.0002286891,0.00008665843,0.0006798396,0.000007288769],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008898862,"about_ca_system_score_gemma":0.01192863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9344869,"about_ca_topic_score_gemma":0.9988783,"domain_scores_codex":[0.996896,0.0002691405,0.000340177,0.0003029857,0.0003402162,0.001851526],"domain_scores_gemma":[0.9989534,0.00007809174,0.00006988805,0.0001125237,0.00001955689,0.0007665457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003340062,0.00001432941,0.9621834,0.000009228292,0.00003269191,0.000001659414,0.00360659,0.00003985314,0.000003445339,0.03169163,0.0007802458,0.001603533],"study_design_scores_gemma":[0.002320242,0.0009647885,0.1664507,0.00006730622,0.00008707248,0.00002117774,0.3129954,0.0002668789,0.00006054117,0.4559153,0.05944513,0.001405485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954544,0.0003288473,0.00001524079,0.04352019,0.0002145624,0.0002784914,0.00001937409,0.00001299667,0.001066312],"genre_scores_gemma":[0.9970326,0.001405989,0.000004690641,0.001194917,0.0002607455,0.00001376414,0.000001987657,0.00001236008,0.00007298539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7957327,"threshold_uncertainty_score":0.9949058,"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."}}