{"id":"W2553158549","doi":"","title":"DEMOGRAPHIC WINDOW IN THE CZECH REPUBLIC (WITH INCREASING RETIREMENT AGE)","year":2015,"lang":"en","type":"article","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Population projection; Population; Demographic dividend; Age structure; Demography; Fertility; Population ageing; Demographic change; Period (music); Retirement age; Quarter (Canadian coin); Demographic economics; Geography; Economics; Pension; Sociology","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":[0.0003363749,0.00009015565,0.00009982107,0.001267128,0.0003929701,0.0008950231,0.000181874,0.0001552918,0.002547295],"category_scores_gemma":[0.00113186,0.00009760691,0.00028411,0.001084354,0.0002043266,0.0005437357,0.0009606155,0.0003681782,0.000291269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006265762,"about_ca_system_score_gemma":0.001117218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854062,"about_ca_topic_score_gemma":0.01882002,"domain_scores_codex":[0.9997568,0.00003046048,0.00002842922,0.00005517001,0.00004035639,0.00008875532],"domain_scores_gemma":[0.9996774,0.00002427039,0.0001300915,0.00001740779,0.0000624437,0.00008831043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006981686,0.0001242032,0.8473772,0.0004694568,0.0001105785,0.001337162,0.005304647,0.003303758,0.005097069,0.02072515,0.00975955,0.1056931],"study_design_scores_gemma":[0.000006764848,0.0000471353,0.9808583,0.00006318502,0.0000165194,0.0005584091,0.001309482,0.0003602135,0.0002669261,0.0007020022,0.01579081,0.00002031068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782684,0.002528327,0.0008170718,0.0004858447,0.00007282015,0.000049436,0.002754279,0.00003159116,0.01499227],"genre_scores_gemma":[0.9972656,0.0007077915,0.0002357797,0.00003281239,0.00001368697,0.0000125772,0.0005492417,0.00000526286,0.001177331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01854062,"threshold_uncertainty_score":0.03686541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05890391375565721,"score_gpt":0.3144877636026876,"score_spread":0.2555838498470304,"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."}}