{"id":"W6962332232","doi":"10.17605/osf.io/swh7r","title":"Exploring the interplay between financial instability and health among people with disabilities in Canada","year":2025,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Poverty; Health care; Population; Home equity; Economic stability; Health equity; Affect (linguistics); Financial stability","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00327326,0.0004115866,0.0008363323,0.000285526,0.0005189737,0.0006329924,0.00374164,0.0001036285,0.0002692319],"category_scores_gemma":[0.002283636,0.0002765414,0.00002491934,0.003264888,0.002174504,0.0007899394,0.002097585,0.001170627,0.0000171833],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918674,"about_ca_system_score_gemma":0.02330207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934519,"about_ca_topic_score_gemma":0.9993388,"domain_scores_codex":[0.9962091,0.0002322981,0.0004543348,0.001226877,0.000956207,0.0009211985],"domain_scores_gemma":[0.9969518,0.0007570349,0.0003323523,0.001622318,0.00006476327,0.0002717447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001596322,0.00001805545,0.9769549,0.00008577629,0.00000708782,0.000001414579,0.003558678,0.00001337284,6.225815e-8,0.002025113,0.01039009,0.006929473],"study_design_scores_gemma":[0.0001513041,0.00005124086,0.9714082,0.003172064,0.000009195406,6.568478e-7,0.006690602,0.00001195717,0.000004421493,0.001157158,0.0169491,0.0003940733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8468328,0.0002325995,0.0002422151,0.002214721,0.001108865,0.004492898,0.0007612528,0.00009325687,0.1440214],"genre_scores_gemma":[0.9877343,0.0000330766,0.00154949,0.0002785522,0.0001319704,0.0004378551,0.000008580751,0.0001825269,0.009643643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1409015,"threshold_uncertainty_score":0.9999686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05581051179530797,"score_gpt":0.3358494284542756,"score_spread":0.2800389166589676,"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."}}