{"id":"W2150429721","doi":"10.1377/hlthaff.25.1.256","title":"Medical Savings Accounts: What Story Do The Data Tell?","year":2006,"lang":"en","type":"article","venue":"Health Affairs","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Deductible; Savings account; Medical expenses; Economics; Actuarial science; Demographic economics; Business; Medicine; Finance; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01014751,0.001082519,0.001248958,0.005443133,0.001119314,0.008398523,0.001649258,0.006700971,0.0138461],"category_scores_gemma":[0.1167034,0.00087325,0.0007434963,0.009759749,0.002319859,0.01739738,0.002254228,0.007948207,0.005611984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187678,"about_ca_system_score_gemma":0.002931237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974536,"about_ca_topic_score_gemma":0.02584649,"domain_scores_codex":[0.9922091,0.002533845,0.001034144,0.00082024,0.002970187,0.0004325611],"domain_scores_gemma":[0.8552821,0.08151329,0.02868517,0.005600449,0.02431905,0.004600109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004636302,0.00005263862,0.03634885,0.001791097,0.0002080937,0.0003289343,0.0007748205,0.0003975848,0.00009573191,0.0193244,0.8459656,0.09424858],"study_design_scores_gemma":[0.00007773021,0.0001122302,0.04335295,0.005680452,0.0001833226,0.0007964414,0.004115573,0.0008095852,0.0003702546,0.02150998,0.9228123,0.0001790811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008497205,0.08398914,0.0007818757,0.859068,0.01052558,0.00003237171,0.02083718,0.0001143165,0.01615439],"genre_scores_gemma":[0.2379223,0.3165089,0.002889243,0.3223684,0.06648864,0.0001797442,0.03353884,0.0004903644,0.0196135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01974536,"threshold_uncertainty_score":0.05366582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06605587444748987,"score_gpt":0.3032526105607412,"score_spread":0.2371967361132513,"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."}}