{"id":"W4310493873","doi":"10.5325/hungarianstud.49.2.0292","title":"Report: Hungarian Studies Association of Canada Annual Conference 2022","year":2022,"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":"Theme (computing); Political science; Inclusion (mineral); Library science; Population; Equity (law); Media studies; Sociology; Gender studies; Law; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005771632,0.0002744137,0.001285002,0.00006341194,0.003757821,0.00002562718,0.0004940321,0.0000588758,0.001501245],"category_scores_gemma":[0.008042283,0.0002913882,0.000217014,0.0006282004,0.0003855827,0.000183935,0.0005214298,0.0003782088,0.00001289802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003792167,"about_ca_system_score_gemma":0.003867076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06916367,"about_ca_topic_score_gemma":0.4555452,"domain_scores_codex":[0.9952606,0.001209126,0.001179798,0.0005228829,0.001165484,0.0006621396],"domain_scores_gemma":[0.9955045,0.001096979,0.001476713,0.0003499225,0.001419787,0.0001520735],"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":[0.000008013054,0.00007441289,0.004293869,0.0005753204,0.001477515,0.00003255004,0.03731703,0.000004411377,9.117263e-7,0.01665453,0.9351094,0.004451987],"study_design_scores_gemma":[0.0001564059,0.00003995992,0.002112994,0.0002058527,0.0002164456,0.000005276848,0.1974687,3.883416e-7,0.000001416592,0.00106321,0.7984669,0.0002624194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005848363,0.7244479,0.000008347884,0.1505771,0.008521249,0.0020216,0.0004785776,0.0001197855,0.107977],"genre_scores_gemma":[0.2508931,0.5946139,0.0003187196,0.007674311,0.001964365,0.001576504,0.0001052101,0.000069791,0.1427842],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3863816,"threshold_uncertainty_score":0.9999538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06920404053709683,"score_gpt":0.360301231783058,"score_spread":0.2910971912459612,"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."}}