{"id":"W6938779545","doi":"10.6068/dp15168eb11f262","title":"Trend 01/1990 - 03/2009. United Nations Economic Commission for Europe. Macroeconomic Statistics [Archive]: Unemployment Rate by Measurement | Country: Italy | Selection 1: Unemployment rate, 01/1990-03/2009. 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":[0.001444615,0.001543604,0.001598517,0.004408085,0.0007374816,0.002515382,0.001966385,0.001238911,0.06769608],"category_scores_gemma":[0.01011371,0.0009349337,0.0008620893,0.01327273,0.0002263034,0.002101916,0.001614028,0.002125521,0.09942572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002363041,"about_ca_system_score_gemma":0.004462786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1346611,"about_ca_topic_score_gemma":0.09321098,"domain_scores_codex":[0.9983135,0.000190629,0.0002957518,0.0003635032,0.0005544797,0.0002821196],"domain_scores_gemma":[0.9934008,0.0006330805,0.000931537,0.0004589217,0.004223805,0.0003519482],"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":[0.00002027853,0.000008253481,0.0007299422,0.0001547422,0.000007171623,0.000005005855,0.000008779963,0.00004803428,0.0000125038,0.0002042786,0.9976724,0.001128648],"study_design_scores_gemma":[0.0001390652,0.00002176543,0.02994154,0.0005928787,0.00002864375,0.00002697383,0.0001724973,0.0001933172,0.0001849475,0.0004626038,0.9682021,0.00003373848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008014769,0.00003425931,0.00002634733,0.00006463422,0.00004392535,0.00001309998,0.9988936,0.00004555481,0.0007985083],"genre_scores_gemma":[0.0004024371,0.00007834098,0.0001354847,0.00005656186,0.00002245629,0.0001111265,0.9975345,0.00004564589,0.001613379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1346611,"threshold_uncertainty_score":0.2677547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06345037907390211,"score_gpt":0.2978502026939921,"score_spread":0.23439982362009,"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."}}