{"id":"W6976888539","doi":"10.6068/dp15cea1fa27a13","title":"Trend 1994 - 2008. United Nations Economic Commission for Europe. Macroeconomic Statistics [Archive]: GDP: Output Approach, in National Currency | Country: Ukraine | 168_0_1: Gross VA in financial, real estate, renting &amp; business activities (ISIC J-K) | 168_1_1: Growth rate over previous year, 1994-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-001-007.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Commonwealth; Measures of national income and output; National accounts; Currency; Economic statistics; Official statistics; Economic data","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004876932,0.0005010982,0.0005742373,0.0004250111,0.000207668,0.0002172208,0.001457824,0.0003634013,0.0002378994],"category_scores_gemma":[0.00005334237,0.0005197041,0.000002403555,0.00008672922,0.000262422,0.00006439681,0.0004441768,0.0003987555,0.00005865621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000496122,"about_ca_system_score_gemma":0.0005138574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1348283,"about_ca_topic_score_gemma":0.1246369,"domain_scores_codex":[0.9973173,0.0002010735,0.0006943052,0.001117859,0.0001812639,0.0004882377],"domain_scores_gemma":[0.9975171,0.0002916119,0.0006403435,0.001400229,0.00001574597,0.0001349578],"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":[0.000146146,0.000199355,0.00006503082,0.0003625928,0.0000806494,0.00001029522,0.000006203432,0.00005800964,0.0001277721,0.001021591,0.9975534,0.0003689333],"study_design_scores_gemma":[0.001383045,0.00003864753,0.0002568705,0.00005058101,0.00007810315,0.00002875418,0.000008980636,0.001700729,3.547282e-7,0.000004308293,0.9958798,0.0005698407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006014278,0.0003084436,0.000205968,0.000004558354,0.0002087607,0.0008190828,0.990653,0.0000314039,0.007708622],"genre_scores_gemma":[0.000280204,0.01494255,0.001037456,0.00002246379,0.0002861007,0.0001012101,0.9798793,0.0001388588,0.003311839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0146341,"threshold_uncertainty_score":0.9997255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646821423347859,"score_gpt":0.2957745788780106,"score_spread":0.2593063646445321,"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."}}