{"id":"W7028971282","doi":"","title":"The impact of aging population on pension costs and health expenditures in Algeria","year":2012,"lang":"fr","type":"other","venue":"theses.fr (ABES)","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population ageing; Population; Retirement age; Quarter (Canadian coin)","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":[0.000910721,0.0002528235,0.0002638263,0.001084364,0.0003307863,0.001232768,0.0002631738,0.0004403315,0.003792805],"category_scores_gemma":[0.003131287,0.0001208412,0.0006019599,0.001223268,0.0002429603,0.0007218844,0.0008100079,0.0004699427,0.0002345747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158305,"about_ca_system_score_gemma":0.001710068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06733827,"about_ca_topic_score_gemma":0.05491879,"domain_scores_codex":[0.9994094,0.0001735126,0.00005890304,0.00005308602,0.0000922228,0.0002129318],"domain_scores_gemma":[0.9985728,0.0003139957,0.0006475846,0.0000605102,0.0002523228,0.0001527266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002377484,0.00007980855,0.9587693,0.0001642415,0.0002546601,0.0003832261,0.001044287,0.001663276,0.0002587309,0.003149081,0.001264238,0.03273138],"study_design_scores_gemma":[0.000004082717,0.00003940019,0.9942449,0.00008752641,0.00009332051,0.0001519315,0.0009836092,0.0006830675,0.00009910412,0.0003866268,0.003219223,0.000007257173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884973,0.003952842,0.0001440098,0.002462457,0.00003904125,0.00000715742,0.00125172,0.000004788635,0.003640796],"genre_scores_gemma":[0.9962049,0.002010842,0.0001076023,0.0001442757,0.0000495194,0.000005165953,0.0003439708,0.0000020118,0.001131602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06733827,"threshold_uncertainty_score":0.1338927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05833967112680226,"score_gpt":0.4288046532673536,"score_spread":0.3704649821405513,"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."}}