{"id":"W4242489395","doi":"10.1108/oxan-db247934","title":"Prospects for the US economy in 2020","year":2019,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Economics; Rest (music); Slow growth; Quarter (Canadian coin); Manufacturing sector; Economy; Market economy; Keynesian economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003910822,0.0003498999,0.0007619579,0.0001782735,0.00006785923,0.0001071654,0.000484178,0.0002885452,0.001873625],"category_scores_gemma":[0.00008533865,0.0003482109,0.0002270282,0.0001229379,0.0000704312,0.0001478219,0.00008628458,0.0002717348,0.001632354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170065,"about_ca_system_score_gemma":0.00004051841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04110954,"about_ca_topic_score_gemma":0.0007744057,"domain_scores_codex":[0.9980311,0.000009520473,0.0005661873,0.000892134,0.0000183053,0.0004826863],"domain_scores_gemma":[0.9985929,0.00009235943,0.0004986416,0.0007436588,0.00001031695,0.00006213778],"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":[0.0000137248,0.00003141388,0.0006716147,0.00007284537,0.00007080365,9.588305e-7,0.0001966012,0.000005985168,0.000001205848,0.03610006,0.9624508,0.0003839799],"study_design_scores_gemma":[0.00070162,0.00003280057,0.0004649954,0.00003598593,0.000003386986,0.000002492805,0.000002169349,0.0003395464,0.0000146632,0.009531409,0.9884169,0.0004540861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009435995,0.04803512,0.0007590544,0.2060284,0.001854603,0.003257809,0.0003776638,0.0001684137,0.7394246],"genre_scores_gemma":[0.001133536,0.002157145,0.0007130604,0.1018129,0.002573967,0.0008076082,0.00009275748,0.0007058273,0.8900032],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1505786,"threshold_uncertainty_score":0.999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958897266157041,"score_gpt":0.2169709158633285,"score_spread":0.1973819432017581,"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."}}