{"id":"W1513707229","doi":"10.1553/populationyearbook2005s243","title":"Fertility in Austria: An Overview","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 ageing; Population; Demography; Demographic economics; 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":[0.00132285,0.001234093,0.00144405,0.00967726,0.0005617287,0.002069463,0.0006787938,0.002286467,0.005213348],"category_scores_gemma":[0.002066149,0.000649345,0.001099346,0.007091481,0.0007043764,0.002902552,0.001990979,0.002137353,0.00275266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064881,"about_ca_system_score_gemma":0.001484103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286465,"about_ca_topic_score_gemma":0.002114593,"domain_scores_codex":[0.9991002,0.0002280309,0.0001745841,0.0002180691,0.0001634914,0.0001155436],"domain_scores_gemma":[0.9993696,0.0003283591,0.0001132743,0.00001569711,0.0001162373,0.00005681011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001844526,0.0001245115,0.003450316,0.009104087,0.0001351422,0.0002459662,0.0005589407,0.001251542,0.0002481673,0.009476699,0.06066341,0.9145567],"study_design_scores_gemma":[0.00002690893,0.0003589777,0.0287147,0.02132316,0.000204484,0.002362337,0.0006224816,0.0004697163,0.0002621503,0.008710943,0.9368677,0.0000764436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008169623,0.9931648,0.0003160729,0.001095349,0.000676608,0.00001084362,0.0001310529,0.00001599937,0.003772228],"genre_scores_gemma":[0.006957226,0.9885927,0.000377889,0.0007726356,0.001388668,0.00003400206,0.0003505281,0.00001106267,0.001515213],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00967726,"threshold_uncertainty_score":0.01744038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4760258199259716,"score_gpt":0.6348989246194889,"score_spread":0.1588731046935173,"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."}}