{"id":"W1992389987","doi":"10.5195/ahea.2011.27","title":"Genetic Research and Hungarian \"Deep Ancestry\"","year":2011,"lang":"en","type":"article","venue":"Hungarian Cultural Studies","topic":"Historical Geopolitical and Social Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Ethnogenesis; CONQUEST; History; Subject (documents); Genealogy; Classics; Ancient history; Sociology; Anthropology; Ethnic group; Library science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001577584,0.0001316776,0.0002382474,0.001306579,0.001854061,0.001759549,0.0002759916,0.0005961393,0.00212191],"category_scores_gemma":[0.002116412,0.00009819806,0.00007354146,0.002200285,0.01657653,0.001571337,0.001743383,0.0007975863,0.0001353082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180077,"about_ca_system_score_gemma":0.001500536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005078818,"about_ca_topic_score_gemma":0.007237826,"domain_scores_codex":[0.999163,0.0004716995,0.00002886918,0.0001227045,0.00009413384,0.0001196769],"domain_scores_gemma":[0.9992111,0.0003557722,0.0001971856,0.00007305518,0.00007657519,0.00008631169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008451992,0.00005582218,0.0720856,0.0001617801,0.00005778651,0.001072691,0.06064676,0.000504762,0.00146589,0.768772,0.002461078,0.09263132],"study_design_scores_gemma":[0.00003575435,0.0001391992,0.2780593,0.0005049991,0.00006766682,0.001887316,0.05084307,0.0004783976,0.00110588,0.5434591,0.1233556,0.00006361301],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052032,0.0198251,0.001645977,0.02251235,0.0001061549,0.00001065023,0.00007087126,0.00001717422,0.05060861],"genre_scores_gemma":[0.9940985,0.003480397,0.0004261261,0.0006087564,0.0000373033,0.00000296242,0.00001718181,0.000002394286,0.001326298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005078818,"threshold_uncertainty_score":0.01306558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3374531401773961,"score_gpt":0.4283632351716913,"score_spread":0.0909100949942952,"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."}}