{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004518964,0.001443979,0.0009555375,0.00357664,0.01022426,0.01177796,0.003070778,0.008664023,0.1601891],"category_scores_gemma":[0.006235678,0.0009296125,0.0009687966,0.005087581,0.001047404,0.002556256,0.004744229,0.005524201,0.04120776],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03628156,"about_ca_system_score_gemma":0.1746544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7969186,"about_ca_topic_score_gemma":0.879104,"domain_scores_codex":[0.9930059,0.0003456048,0.0001873234,0.0004025192,0.003928004,0.00213061],"domain_scores_gemma":[0.9873474,0.0004020924,0.0001883021,0.0003565433,0.007903717,0.00380198],"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":[0.00001206572,0.00001503528,0.0002353172,0.00004009564,0.000003141309,0.00002420027,0.0000373747,0.000009486347,0.00002224854,0.0005477208,0.9959654,0.003087929],"study_design_scores_gemma":[0.0000105768,0.000004001647,0.004298998,0.0001090796,0.000003327475,0.00001074623,0.0003418191,0.00001860649,0.00004176315,0.0001051212,0.9950436,0.00001237231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007090747,0.02497379,0.0004924186,0.1771066,0.07007205,0.002048626,0.09863158,0.0006109767,0.6189732],"genre_scores_gemma":[0.01348473,0.008330327,0.0006315173,0.01900613,0.003256813,0.001130873,0.02382243,0.0002612801,0.9300759],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9637184,"threshold_uncertainty_score":0.535886,"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."}}