{"id":"W7136370994","doi":"10.69961/y.z.2025.1.4","title":"Hátrányból előny - területi exaptív reziliencia az EU keleti határai mentén","year":2025,"lang":"","type":"article","venue":"Y.Z.","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"European union; Work (physics); Government (linguistics); Process (computing); European commission","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":[0.0009532688,0.0004639385,0.0003992422,0.00047886,0.001434735,0.002175548,0.000490834,0.0008887381,0.03883513],"category_scores_gemma":[0.0008791236,0.0001414627,0.0003220681,0.0003901926,0.000728856,0.0008781629,0.001868275,0.001691705,0.0108135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123558,"about_ca_system_score_gemma":0.001894281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002031819,"about_ca_topic_score_gemma":0.00337942,"domain_scores_codex":[0.9995942,0.0001283355,0.00002022557,0.00004512463,0.00009634707,0.0001157416],"domain_scores_gemma":[0.9996485,0.00005141216,0.00003526318,0.00003008151,0.0001022211,0.0001325437],"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":[0.001864622,0.001535039,0.009175611,0.001539001,0.0001567951,0.003631512,0.006770367,0.0004565626,0.009075984,0.05152908,0.1581889,0.7560765],"study_design_scores_gemma":[0.0001883159,0.0005045027,0.01836144,0.0006379583,0.0001218298,0.001632157,0.005134023,0.0003393057,0.006376715,0.006236441,0.9604205,0.00004685958],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2434813,0.08149137,0.009487238,0.06099581,0.01176239,0.0003947542,0.001685612,0.001040051,0.5896615],"genre_scores_gemma":[0.531876,0.02814614,0.004695767,0.005147165,0.001189803,0.0001294018,0.0008271055,0.00016497,0.4278237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03883513,"threshold_uncertainty_score":0.1299165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713252768876915,"score_gpt":0.3367418839010083,"score_spread":0.3196093562122392,"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."}}