{"id":"W4229975115","doi":"10.1553/populationyearbook2005si","title":"Editorial","year":2007,"lang":"en","type":"editorial","venue":"Vienna Yearbook of Population Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Productivity; Geography; Postponement; Population; Population ageing; Demographic economics; Demography; Life expectancy; Political science; Sociology; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605367,0.001267401,0.001158874,0.002447949,0.001831266,0.006328481,0.001924561,0.003951883,0.4600468],"category_scores_gemma":[0.01082109,0.00043575,0.0009778921,0.001510479,0.0008758281,0.003925224,0.002313185,0.004034332,0.2861026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088837,"about_ca_system_score_gemma":0.003039775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001883826,"about_ca_topic_score_gemma":0.00252803,"domain_scores_codex":[0.9980926,0.0002549756,0.0001648968,0.0003930579,0.0009024743,0.0001919742],"domain_scores_gemma":[0.9935069,0.001064931,0.0003302102,0.0005245105,0.003288246,0.001285164],"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":[0.000011328,0.000007203602,0.00003403693,0.00009414341,0.000002020338,0.00003191369,0.00001363721,0.000009691139,0.00003678831,0.0006745617,0.983704,0.01538064],"study_design_scores_gemma":[0.00000533575,0.000004556899,0.0001060343,0.0001309961,0.000002185346,0.00004835157,0.00002977121,0.00001024278,0.00002786534,0.0004713411,0.999161,0.000002399918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003166084,0.01746779,0.0005393456,0.06603215,0.6700265,0.0001525883,0.002606814,0.0006376161,0.2422206],"genre_scores_gemma":[0.003692816,0.01708927,0.0006801861,0.03704845,0.3438178,0.0001488516,0.003147561,0.0005194028,0.5938557],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4600468,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1486233554237689,"score_gpt":0.6096224461019003,"score_spread":0.4609990906781314,"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."}}