{"id":"W70230024","doi":"10.1007/978-94-017-0675-9_5","title":"Financing Long-Term Care in the United States","year":2001,"lang":"en","type":"book-chapter","venue":"International library of ethics, law, and the new medicine/˜The œinternational library of ethics, law, and the new medicine","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Immediacy; Social security; Population ageing; Point (geometry); Financial crisis; Population; Health care; Economics; Political science; Finance; Business; Economic growth; Sociology; Keynesian economics; Demography; 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":[0.001815477,0.0003219736,0.0002976459,0.0009147248,0.001910283,0.006403287,0.0007014337,0.004085745,0.01193293],"category_scores_gemma":[0.004525425,0.0003444579,0.0002717843,0.00218776,0.001231215,0.004276042,0.002055776,0.00376093,0.001071429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008983323,"about_ca_system_score_gemma":0.01928916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04605124,"about_ca_topic_score_gemma":0.1346488,"domain_scores_codex":[0.9991882,0.0003398446,0.00003355995,0.00004570744,0.0002290497,0.0001635699],"domain_scores_gemma":[0.9984174,0.0007014285,0.0001342452,0.00007115795,0.0002219943,0.0004538498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002637272,0.0000970056,0.002023567,0.0001117953,0.00001303166,0.0001806065,0.001402066,0.001527142,0.0001160379,0.5053689,0.3982914,0.09084202],"study_design_scores_gemma":[0.00003604406,0.00005476871,0.006886813,0.001455287,0.00002242678,0.0002368025,0.002146481,0.001163365,0.0001114005,0.0981893,0.889666,0.0000313124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02179618,0.09609258,0.001427715,0.203344,0.003245836,0.00005548024,0.0009744029,0.0001066879,0.6729571],"genre_scores_gemma":[0.3688731,0.1223735,0.00329468,0.0411221,0.004114787,0.0004289369,0.001735523,0.0001110231,0.4579464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04605124,"threshold_uncertainty_score":0.09156638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0761428804740935,"score_gpt":0.3576873974841813,"score_spread":0.2815445170100878,"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."}}