{"id":"W1823318417","doi":"10.1553/populationyearbook2005s237","title":"Recent Demographic Trends in Austria until 2004","year":2006,"lang":"en","type":"article","venue":"Vienna Yearbook of Population Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Productivity; Postponement; Geography; Population; Population ageing; Demography; Demographic economics; Life expectancy; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003998818,0.0001298883,0.0003405076,0.001738872,0.0002972051,0.000008133877,0.0002405823,0.0003014246,0.0018294],"category_scores_gemma":[0.0003746151,0.0001264978,0.00006213265,0.002905132,0.0001087761,0.0001161243,0.0001153521,0.0009253356,0.0004696819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514631,"about_ca_system_score_gemma":0.0001873164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261771,"about_ca_topic_score_gemma":0.01450312,"domain_scores_codex":[0.9950415,0.001594352,0.001037317,0.0003542167,0.001022806,0.000949784],"domain_scores_gemma":[0.9981846,0.000413681,0.0002136471,0.0004425165,0.0005970372,0.0001484696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000170553,0.0001754133,0.902473,0.0002018377,0.000006186435,0.00001060083,0.0003797871,0.0001123669,0.0003233369,0.01266464,0.06464642,0.01883587],"study_design_scores_gemma":[0.00077385,0.00008351525,0.8854011,0.0002654844,0.000002867787,2.924764e-7,0.0002759105,0.0001826027,0.00001939416,0.003502272,0.1093959,0.00009684033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954297,0.00199526,0.000007085194,0.002537444,0.000431462,0.0009383943,0.00002759714,0.00007757719,0.03968817],"genre_scores_gemma":[0.9919657,0.0002305283,0.0002754153,0.00005865618,0.0002757843,0.00008042545,0.0001412518,0.00002713799,0.006945102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04474945,"threshold_uncertainty_score":0.999083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1969815114502269,"score_gpt":0.5501238366554682,"score_spread":0.3531423252052412,"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."}}