{"id":"W4322484748","doi":"10.2139/ssrn.4366181","title":"Cash Welfare and Health Spending","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Welfare; Cash; Economics; Business; Public economics; Finance; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002493165,0.0001669813,0.000241196,0.0005458705,0.0007846878,0.0003043289,0.0001943577,0.0000420393,0.0001714641],"category_scores_gemma":[0.00006394627,0.0001526101,0.0001021974,0.0009840995,0.00002580714,0.0007922149,0.0001360313,0.0007047871,0.0003628627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003388233,"about_ca_system_score_gemma":0.0002023725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008612556,"about_ca_topic_score_gemma":0.003005108,"domain_scores_codex":[0.9972128,0.00001559409,0.0003327881,0.0002415129,0.0003281886,0.001869143],"domain_scores_gemma":[0.9994687,0.00001165171,0.0002836552,0.000134985,0.00007702473,0.00002391826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001645081,0.00001937329,0.5444714,0.00004794417,0.00003556437,0.00001982347,0.00005327495,0.00001892852,0.00002948255,0.4360988,0.002213361,0.01697564],"study_design_scores_gemma":[0.001491609,0.0001087374,0.5849912,0.0001575674,0.0001616271,0.000183753,0.003281313,0.003499153,0.000007468982,0.2684033,0.1369692,0.0007450557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884132,0.001276423,0.00008670482,0.007876028,0.000351915,0.000149937,9.767176e-7,0.0001656171,0.001679264],"genre_scores_gemma":[0.9953653,0.001461134,0.00002153391,0.0005645553,0.001179625,0.000002391612,0.0000261902,0.00003166817,0.001347562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1676954,"threshold_uncertainty_score":0.622326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900004257961801,"score_gpt":0.2614169652843238,"score_spread":0.2424169227047058,"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."}}