{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005109921,0.0001941025,0.0003894533,0.003558946,0.00039957,0.00088359,0.0004719547,0.0002182417,0.002064094],"category_scores_gemma":[0.001083869,0.0002013149,0.0002696426,0.006617634,0.0003779932,0.0004355903,0.0008354282,0.0002245337,0.0001925219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649486,"about_ca_system_score_gemma":0.001707993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1803701,"about_ca_topic_score_gemma":0.2250504,"domain_scores_codex":[0.9996444,0.00006045838,0.00005973864,0.00006382012,0.00008205646,0.00008946194],"domain_scores_gemma":[0.9992587,0.0001574314,0.000254232,0.00003258561,0.0002127886,0.00008425915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002895066,0.0001086332,0.9168755,0.002474051,0.0004395281,0.001610677,0.01124474,0.001068353,0.001102048,0.002099435,0.007644499,0.05504312],"study_design_scores_gemma":[0.000007968284,0.00001732927,0.9907584,0.0001181076,0.00003547529,0.00009867563,0.00523792,0.0001007959,0.00006903289,0.00004746702,0.00350099,0.00000782329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819893,0.004228553,0.0001735726,0.0001311011,0.00001400567,0.00005434013,0.01070516,0.000007757102,0.002696121],"genre_scores_gemma":[0.9913846,0.002682062,0.0002262794,0.000033921,0.000007194274,0.00003217164,0.005108675,0.000003498036,0.0005215186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1803701,"threshold_uncertainty_score":0.3586404,"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."}}