{"id":"W7119303750","doi":"","title":"Ethnicizing Europe : Hate and Violence After Versailles","year":2025,"lang":"en","type":"book","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Central European national history","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uniwersytet Warszawski; University of Toronto; Yale University","keywords":"Poison control; Subject (documents); Field (mathematics); State (computer science)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001214422,0.0005034923,0.0008202222,0.0004498029,0.001242544,0.0001226848,0.006282688,0.0007903824,0.0001139001],"category_scores_gemma":[0.0002550754,0.0003648222,0.0005799168,0.001312046,0.01109053,0.003506215,0.002977856,0.00178601,0.000006021595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008865972,"about_ca_system_score_gemma":0.002318355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002910466,"about_ca_topic_score_gemma":6.504856e-7,"domain_scores_codex":[0.9936464,0.001528877,0.001379144,0.0009116827,0.001947448,0.0005864902],"domain_scores_gemma":[0.9962726,0.0008976082,0.002151045,0.0004146287,0.00003890542,0.0002252582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006118723,0.0002172444,0.01572408,0.002039603,0.0005275032,0.00001097027,0.007203974,0.0003137013,0.00491842,0.7125148,0.2482118,0.007706015],"study_design_scores_gemma":[0.0004195916,0.00006828042,0.05222385,0.007648487,0.0003373044,0.00001324424,0.0002679392,0.00006147154,0.01296747,0.02930021,0.8959717,0.0007205212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01978292,0.03869833,0.000001624075,0.03010933,0.001815883,0.001591058,0.0002046238,0.0001983704,0.9075978],"genre_scores_gemma":[0.1096442,0.009618931,0.0008490477,0.003575665,0.0009308003,0.00001279342,0.000003970524,0.0001139967,0.8752506],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6832146,"threshold_uncertainty_score":0.9998804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601177345976995,"score_gpt":0.2462545071395917,"score_spread":0.2302427336798218,"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."}}