{"id":"W3178572289","doi":"10.1007/s00103-021-03385-y","title":"Gesundheitsausgaben und die Rolle des Alters: Eine detaillierte Analyse der Kosten von Überlebenden und Verstorbenen","year":2021,"lang":"de","type":"article","venue":"Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz","topic":"Global Health Care Issues","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Health care; Health insurance; Quarter (Canadian coin); Population; Statutory law; Demography; Medicine; Gerontology; Actuarial science; Political science; Business; Geography; Economics; Environmental health; Sociology; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.01201271,0.008952303,0.01062767,0.003752403,0.01255336,0.003039177,0.007523742,0.009085027,0.0081071],"category_scores_gemma":[0.006900706,0.009808696,0.004906358,0.01010755,0.004471116,0.006128463,0.006804008,0.01323355,0.03978201],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009610985,"about_ca_system_score_gemma":0.01419755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01394172,"about_ca_topic_score_gemma":0.04604346,"domain_scores_codex":[0.9375876,0.01364137,0.01264482,0.01133278,0.008107318,0.0166861],"domain_scores_gemma":[0.9547471,0.008652518,0.006371936,0.01156178,0.009035595,0.009631089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01149231,0.01741235,0.1565345,0.03600359,0.1117559,0.02445576,0.05541538,0.008488789,0.00963737,0.03584748,0.4169593,0.1159972],"study_design_scores_gemma":[0.02620373,0.00335861,0.1031478,0.01253424,0.0349363,0.0005074592,0.01792649,0.002656845,0.004906776,0.01262734,0.7662327,0.01496175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2114076,0.6287844,0.002260616,0.01360914,0.03435609,0.01251248,0.006211033,0.004671105,0.0861875],"genre_scores_gemma":[0.7686533,0.08459087,0.01906778,0.01059157,0.02443806,0.00174789,0.01025545,0.004573387,0.07608163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5572457,"threshold_uncertainty_score":0.9982381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06306919355909162,"score_gpt":0.4037161842151646,"score_spread":0.340646990656073,"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."}}