{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006491932,0.0001652768,0.000206739,0.001721942,0.000496712,0.001954968,0.0001739373,0.0009863696,0.0228586],"category_scores_gemma":[0.00503096,0.0001527,0.0004635878,0.00185846,0.0004005685,0.0009925176,0.001026326,0.001046725,0.001560757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000875187,"about_ca_system_score_gemma":0.0008849056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243569,"about_ca_topic_score_gemma":0.02386059,"domain_scores_codex":[0.999627,0.0001382804,0.00001945026,0.00002907637,0.00003472223,0.0001514725],"domain_scores_gemma":[0.9967965,0.001024072,0.001004122,0.0000750246,0.0002087675,0.0008914597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008404664,0.0003436577,0.9223253,0.000117427,0.0003678422,0.0002363373,0.0004893354,0.0008448791,0.0001056997,0.02152319,0.01550796,0.03729791],"study_design_scores_gemma":[0.00004478407,0.0002413707,0.9617975,0.0002078043,0.0002277287,0.0002148686,0.001581554,0.0006953224,0.00009784128,0.01256783,0.02230052,0.00002290642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8735182,0.01727179,0.0003614092,0.03036723,0.000463043,0.00002128278,0.0103137,0.00005312514,0.0676301],"genre_scores_gemma":[0.9801238,0.002990386,0.00006182953,0.0007470911,0.0002947987,0.0000119502,0.001837947,0.000008041125,0.01392416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0228586,"threshold_uncertainty_score":0.0764696,"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."}}