{"id":"W2547884043","doi":"10.1080/17445647.2016.1237898","title":"Population and age structure in Hungary: a residential preference and age dependency approach to disaggregate census data","year":2016,"lang":"en","type":"article","venue":"Journal of Maps","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Census; Geography; Population; Cartography; Distribution (mathematics); Demography; Regional science; Sociology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005473373,0.00006788751,0.0001605928,0.00009060846,0.0001677623,0.00008013903,0.0001877606,0.00004789078,0.000007021225],"category_scores_gemma":[0.0003154644,0.00004443476,0.00001269779,0.0000935435,0.00006243074,0.0004226652,0.00009492311,0.00008943699,2.765679e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002954826,"about_ca_system_score_gemma":0.00003064443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004136717,"about_ca_topic_score_gemma":0.05561407,"domain_scores_codex":[0.99907,0.0001429043,0.0002195633,0.0001483982,0.0002829595,0.000136176],"domain_scores_gemma":[0.999537,0.00005607591,0.000167661,0.0001118544,0.00004116495,0.00008626146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002748863,0.0001210143,0.6095271,0.0000939525,0.0001025341,0.0001984484,0.3058523,0.000009285595,0.001293908,0.008844195,0.01977633,0.05390608],"study_design_scores_gemma":[0.0004257923,0.00003152622,0.9784245,0.00008913765,0.00002194511,0.00001056786,0.000700073,0.000003902896,0.000008795067,0.01744898,0.002746083,0.00008873033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977561,0.0005912159,0.0001927883,0.0007590163,0.0001370854,0.0001049739,0.00003678604,0.000004912081,0.0004171839],"genre_scores_gemma":[0.9974707,0.0007472323,0.001118914,0.00001977519,0.0003069556,5.433718e-7,0.000006283013,0.000003916165,0.0003257166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3688974,"threshold_uncertainty_score":0.9616185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0567119310231829,"score_gpt":0.3038391966498736,"score_spread":0.2471272656266907,"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."}}