{"id":"W4401390751","doi":"10.5325/hungarianstud.51.1.0004","title":"One Village in Subcarpathia: Census Data from Hungary and Czechoslovakia","year":2024,"lang":"en","type":"article","venue":"Hungarian Studies Review","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Demography; Socioeconomics; Ancient history; History; Sociology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00233108,0.0002272141,0.0007892178,0.00007425638,0.0006709975,0.0001352144,0.0004853613,0.0001095389,0.0003491803],"category_scores_gemma":[0.001384425,0.0002309478,0.00008182252,0.0004600953,0.000543861,0.0003609301,0.0005444767,0.0003082734,0.0002770884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943529,"about_ca_system_score_gemma":0.0002851879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002444694,"about_ca_topic_score_gemma":0.009128972,"domain_scores_codex":[0.9975039,0.0004040387,0.0005910759,0.0007649621,0.0002850561,0.0004509325],"domain_scores_gemma":[0.9982591,0.0009545484,0.0001030038,0.0004673348,0.00008468001,0.0001313492],"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":[0.00001616445,0.0001751658,0.007186238,0.003767791,0.001618536,0.00009386659,0.0438727,1.731311e-7,0.000008462695,0.08171191,0.4903954,0.3711536],"study_design_scores_gemma":[0.0001409192,0.00001435583,0.01221616,0.003061789,0.0002318034,0.000001028076,0.01438661,0.000005618663,4.463252e-7,0.004806913,0.9648163,0.0003180399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003598465,0.9269556,0.000007524457,0.02890466,0.001401594,0.0006264043,0.0002646679,0.0001188122,0.03812224],"genre_scores_gemma":[0.08085597,0.9140308,0.0005156164,0.001710145,0.001381561,0.0000878667,0.0001334983,0.00002918642,0.001255297],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4744209,"threshold_uncertainty_score":0.941778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2435407614426316,"score_gpt":0.4235293505445942,"score_spread":0.1799885891019626,"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."}}