{"id":"W4285791174","doi":"10.1111/1468-0319.12407","title":"World Economic Prospects Monthly","year":2019,"lang":"en","type":"article","venue":"Economic Outlook","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Financial crisis; China; Quarter (Canadian coin); Investment (military); Tertiary sector of the economy; World economy; International economics; Economy; Macroeconomics; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001332969,0.001733604,0.0008448247,0.002533515,0.0009378783,0.005599786,0.001040524,0.002337191,0.4055419],"category_scores_gemma":[0.002862239,0.0004732544,0.0005898066,0.003204181,0.0003577731,0.003730467,0.001944475,0.003304713,0.4317382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223491,"about_ca_system_score_gemma":0.003702154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005978672,"about_ca_topic_score_gemma":0.007109062,"domain_scores_codex":[0.9991571,0.00006366905,0.00006239697,0.0001180592,0.0004467869,0.0001520651],"domain_scores_gemma":[0.9986241,0.00007988114,0.0001053347,0.0001166762,0.0007463818,0.0003275617],"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":[0.000007998092,0.00001188267,0.0001217916,0.00005829942,0.000001661586,0.0000161104,0.00000990741,0.000019432,0.00002843341,0.0017303,0.9637983,0.03419582],"study_design_scores_gemma":[0.000002806306,0.000005033721,0.0005676988,0.00007328301,7.92487e-7,0.00002161905,0.00001358896,0.00001144744,0.000009862872,0.0003625533,0.998929,0.000002417819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007812786,0.01526061,0.0008022201,0.02781785,0.02544951,0.0002730741,0.04380114,0.001579764,0.8842345],"genre_scores_gemma":[0.005285937,0.01549548,0.001240228,0.006062825,0.005937074,0.0003558862,0.03265994,0.0006414217,0.9323213],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4055419,"threshold_uncertainty_score":0.8479223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104139532459128,"score_gpt":0.2535787600252319,"score_spread":0.2425373647006407,"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."}}