{"id":"W2924813464","doi":"","title":"Japan's ageing population points to our global future","year":2014,"lang":"en","type":"article","venue":"The New Scientist","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fell; Quarter (Canadian coin); Population ageing; Demography; Population; Economic stagnation; Population growth; Economic history; Demographic economics; History; Global population; Economics; Development economics; Geography; Socioeconomics; Political science; Sociology; Law; Archaeology; Cartography","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":[0.001395821,0.0006129853,0.0003954033,0.0007537661,0.002159964,0.003341234,0.0003792819,0.002577152,0.01063227],"category_scores_gemma":[0.002603067,0.0001697628,0.0005061214,0.001147714,0.002111715,0.004135759,0.002085699,0.00446707,0.002986666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834312,"about_ca_system_score_gemma":0.003006959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663417,"about_ca_topic_score_gemma":0.03520469,"domain_scores_codex":[0.9994491,0.000132198,0.00003234762,0.00007882666,0.0001645366,0.0001429534],"domain_scores_gemma":[0.9979752,0.0002232342,0.0002277416,0.00009715046,0.0007058568,0.0007709319],"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":[0.00009009686,0.00003153539,0.01471626,0.0004329643,0.00005671148,0.0007098751,0.003814769,0.0001147508,0.0009148767,0.01577412,0.8562061,0.107138],"study_design_scores_gemma":[0.00001136736,0.00007509501,0.03968007,0.0003854953,0.00008269271,0.0006916882,0.007844768,0.0001342395,0.0001730279,0.01237888,0.9384854,0.00005736266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0229343,0.06287529,0.001214466,0.8448543,0.02514459,0.00001036164,0.0006636895,0.0002435377,0.04205951],"genre_scores_gemma":[0.4078,0.175024,0.005336837,0.2713542,0.05943931,0.00006003217,0.00123486,0.0002444052,0.07950653],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01663417,"threshold_uncertainty_score":0.03556854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065842590118497,"score_gpt":0.3073939961057574,"score_spread":0.2967355702045724,"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."}}