{"id":"W4388837629","doi":"10.2139/ssrn.4597237","title":"Designing Disability Insurance Reforms: Tightening Eligibility Rules or Reducing Benefits? Supplementary Material","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Actuarial science; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002172502,0.001560599,0.001235011,0.004912002,0.0007581612,0.002681453,0.00173418,0.002853798,0.7835817],"category_scores_gemma":[0.03967877,0.0008193838,0.001257266,0.006125602,0.0002833301,0.0020924,0.001034256,0.001378748,0.2058841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002997327,"about_ca_system_score_gemma":0.007450379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0240703,"about_ca_topic_score_gemma":0.05691546,"domain_scores_codex":[0.9982501,0.0002363683,0.0002243305,0.0001674505,0.0007153857,0.0004062988],"domain_scores_gemma":[0.9697734,0.01938309,0.001742228,0.001291615,0.006804914,0.001004793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004834324,0.0001181284,0.001257988,0.0005249747,0.00001923125,0.00006404287,0.00002350345,0.0009467815,0.00004030598,0.00433525,0.9820306,0.01059073],"study_design_scores_gemma":[0.00234744,0.0003292364,0.03200066,0.002256205,0.0001294059,0.0003317714,0.0006976175,0.008118346,0.0008946876,0.06574732,0.8869352,0.0002120783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001305476,0.0001815079,0.001244417,0.002566967,0.001094088,0.000273013,0.9694761,0.0004363126,0.02342215],"genre_scores_gemma":[0.02568648,0.001075806,0.01212833,0.002380002,0.001460801,0.001851412,0.8800489,0.0006233709,0.07474489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7835817,"threshold_uncertainty_score":0.3086944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09396077121439655,"score_gpt":0.391167751895284,"score_spread":0.2972069806808875,"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."}}