{"id":"W4231886410","doi":"10.1108/oxan-db244501","title":"Prospects for the US economy to end-2019","year":2019,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rest (music); Quarter (Canadian coin); Economics; Business; Labour economics; Market economy; 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":[],"consensus_categories":[],"category_scores_codex":[0.001401498,0.0005751204,0.0003328419,0.001062626,0.00205398,0.004267993,0.0005398863,0.005200272,0.1340858],"category_scores_gemma":[0.003696152,0.0001810934,0.0005703325,0.0008136309,0.0006267349,0.002696412,0.003129528,0.003509081,0.1124644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002146917,"about_ca_system_score_gemma":0.00721755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254926,"about_ca_topic_score_gemma":0.01919195,"domain_scores_codex":[0.9990065,0.000134125,0.00005199266,0.00005585307,0.000370671,0.0003807648],"domain_scores_gemma":[0.9985749,0.0001034698,0.00009303693,0.00005957646,0.0005504431,0.0006185269],"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":[0.00002628715,0.00002915338,0.0003144074,0.0000829722,0.000002750814,0.0000626258,0.00003226921,0.00003982318,0.0001361509,0.00615718,0.9725928,0.02052359],"study_design_scores_gemma":[0.000005165186,0.00001006087,0.001270321,0.0001399086,0.000001744528,0.00002968481,0.0001175895,0.00002842473,0.0000939037,0.002103518,0.996192,0.000007746427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002695215,0.01141694,0.0006100791,0.192872,0.04137056,0.0001576179,0.01309616,0.0007471724,0.7370341],"genre_scores_gemma":[0.02931297,0.01250855,0.0009743316,0.09067356,0.006862942,0.0003716559,0.01233623,0.0003217739,0.846638],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1340858,"threshold_uncertainty_score":0.4485617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927405789658752,"score_gpt":0.2858280391942699,"score_spread":0.2665539812976824,"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."}}