{"id":"W6920218214","doi":"10.6068/dp15165600d4e99","title":"Trend 01/1996 - 05/2009. United Nations Economic Commission for Europe. Macroeconomic Statistics [Archive]: Unemployment Rate by Measurement | Country: Hungary | Selection 1: Unemployment rate, 01/1996-05/2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-001-013.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Commonwealth; Commission; Official statistics; Economic statistics; Per capita; National accounts","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001465076,0.001568499,0.001623105,0.004253611,0.0006883882,0.002691721,0.002038129,0.001214261,0.08004048],"category_scores_gemma":[0.01085535,0.0009792317,0.0008650676,0.01255476,0.0002235054,0.002224034,0.001679364,0.002040814,0.1079638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219595,"about_ca_system_score_gemma":0.004311784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1015393,"about_ca_topic_score_gemma":0.05884836,"domain_scores_codex":[0.9982427,0.0001970291,0.0003348016,0.0003703296,0.000568116,0.0002870898],"domain_scores_gemma":[0.9935406,0.0006679695,0.0009479769,0.0005089107,0.004007359,0.0003271701],"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":[0.00002774308,0.000008921166,0.0007385912,0.0001764934,0.000009170019,0.000006370802,0.000009481031,0.00006497772,0.0000143134,0.0002522614,0.9973086,0.001383048],"study_design_scores_gemma":[0.0001401961,0.00002196183,0.02758211,0.0005954362,0.00003092858,0.00002770781,0.000189292,0.0002019621,0.0002393243,0.0005166591,0.9704184,0.0000360512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008166734,0.00003097083,0.00003083553,0.00006002055,0.00005120769,0.00001417257,0.9989132,0.00004608211,0.0007718633],"genre_scores_gemma":[0.0004276711,0.00008422275,0.0001466946,0.00004999388,0.00002277038,0.0001153688,0.9972784,0.0000520108,0.001822885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1015393,"threshold_uncertainty_score":0.2677621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06399992515882254,"score_gpt":0.2982319662637297,"score_spread":0.2342320411049072,"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."}}