{"id":"W6891343773","doi":"10.3886/e118462v1","title":"Code for: \"Disability and Distress: The Effect of Disability Programs on Financial Outcomes\"","year":2021,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Allowance (engineering); Bankruptcy; Disability insurance; Foreclosure; Variation (astronomy); Code (set theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001592812,0.001386734,0.001110263,0.002830814,0.0007502618,0.003061203,0.002529262,0.00247781,0.1568744],"category_scores_gemma":[0.01050127,0.0006811257,0.001084704,0.006418535,0.0004957275,0.001571864,0.002317641,0.001838532,0.1160454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656071,"about_ca_system_score_gemma":0.002209817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07623345,"about_ca_topic_score_gemma":0.1024806,"domain_scores_codex":[0.9986475,0.0002553713,0.0002097784,0.0002841828,0.0003424256,0.0002608226],"domain_scores_gemma":[0.9940745,0.001732433,0.00129449,0.0008892204,0.001505086,0.0005042561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003945779,0.00001408495,0.001666607,0.0002387864,0.0000136656,0.00001207119,0.00001603981,0.0001454498,0.00002094454,0.0002905125,0.9964366,0.001105713],"study_design_scores_gemma":[0.0006614678,0.00003999073,0.02426402,0.0005444509,0.00003089879,0.00005463583,0.0001950154,0.0007045604,0.0001646221,0.001101734,0.9721925,0.00004605574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000125858,0.00002350892,0.00002185537,0.0001512106,0.00002513746,0.00001048408,0.9990545,0.00007040294,0.0005169841],"genre_scores_gemma":[0.0007730636,0.000049234,0.0001578896,0.0001157507,0.0000208029,0.00009548839,0.9969854,0.00005683885,0.001745583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1568744,"threshold_uncertainty_score":0.5247972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764889459555896,"score_gpt":0.3456372347088184,"score_spread":0.2979883401132595,"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."}}