{"id":"W4317857269","doi":"10.1007/978-981-16-1914-4_25-1","title":"Disease-Specific Health Spending on Hospitalization among Elderly in India","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Medicine; Environmental health; Disease; Quarter (Canadian coin); Pooling; Population; Disease burden; Gerontology; 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":[0.0002951039,0.0001883783,0.0001842222,0.001424229,0.0002608292,0.0008381411,0.0005039155,0.0002501756,0.002500766],"category_scores_gemma":[0.001515023,0.0001908079,0.0004476678,0.003860992,0.0003597773,0.0004592571,0.0006540739,0.000689191,0.0002804622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003137067,"about_ca_system_score_gemma":0.002516565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1940491,"about_ca_topic_score_gemma":0.2972794,"domain_scores_codex":[0.999665,0.00006612613,0.00002978952,0.00002930445,0.00006242769,0.0001473283],"domain_scores_gemma":[0.9991269,0.0002653447,0.0002643374,0.00003710385,0.0001340984,0.0001723479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001628358,0.000102865,0.888472,0.0002590044,0.0002645802,0.0006081408,0.001084287,0.008599395,0.0002473838,0.02342874,0.04173991,0.03503088],"study_design_scores_gemma":[0.000002571276,0.00001882756,0.9911482,0.00004508844,0.00003703911,0.0001539081,0.0006146975,0.001100466,0.00006540363,0.001165912,0.005639631,0.000008082963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9068207,0.01088992,0.0004348626,0.01307514,0.0002074816,0.00001641212,0.03904855,0.00007277117,0.02943433],"genre_scores_gemma":[0.9820144,0.004261833,0.0001261516,0.0003514756,0.0001416493,0.000008815735,0.006533115,0.00001248534,0.00655019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1940491,"threshold_uncertainty_score":0.3858392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06686802498446823,"score_gpt":0.2474918470209901,"score_spread":0.1806238220365218,"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."}}