{"id":"W7011221357","doi":"","title":"Land of Choice: The Hungarians in Canada","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Field (mathematics); State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001761795,0.0001019621,0.0001471218,0.003286507,0.0001093381,0.00001635942,0.001809286,0.0000464512,0.000001732275],"category_scores_gemma":[0.00009671992,0.0000916198,0.00003787217,0.01170261,0.00006941479,0.0001700623,0.0005924092,0.0001894254,0.000007791603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000452939,"about_ca_system_score_gemma":0.001473463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798211,"about_ca_topic_score_gemma":0.9900872,"domain_scores_codex":[0.9990565,0.00008302076,0.0001177299,0.0002516411,0.0002200998,0.0002710681],"domain_scores_gemma":[0.9990065,0.0002398734,0.00008446011,0.0006018929,0.00004456486,0.00002276961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009024877,0.0003633808,0.2442245,0.0003370467,0.0003091688,0.003646153,0.04230846,0.01182551,0.0001041393,0.08475331,0.03177974,0.5802583],"study_design_scores_gemma":[0.0002861052,0.00002704942,0.007773709,0.0000219078,0.000004436378,0.000002932695,0.0002526418,0.009543786,0.000156818,0.000005381585,0.9818031,0.0001220887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174781,0.000004105048,0.007200268,0.004521494,0.0008145908,0.0006190899,0.00001285569,0.001253999,0.1680955],"genre_scores_gemma":[0.9968078,0.001836412,0.001247324,0.00005841265,0.00001397501,8.449335e-7,0.000001221985,0.000007113286,0.00002691782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9500234,"threshold_uncertainty_score":0.5622715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832593146417838,"score_gpt":0.2058431490419949,"score_spread":0.1875172175778165,"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."}}