{"id":"W4245597042","doi":"10.1177/002795011824400101","title":"The UK Economy: Forecast Summary","year":2018,"lang":"en","type":"article","venue":"National Institute Economic Review","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Economics; Inflation (cosmology); Slowdown; Quarter (Canadian coin); Exchange rate; Monetary economics; Inflation rate; Economic slowdown; Monetary policy; Macroeconomics; Market economy","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":[0.002162187,0.001420908,0.0008981815,0.004321051,0.0004063521,0.003649619,0.0007439489,0.001700854,0.02552714],"category_scores_gemma":[0.01040524,0.0004593366,0.0005553873,0.006287229,0.0004340471,0.003950432,0.001110731,0.003056339,0.02211433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006213214,"about_ca_system_score_gemma":0.005589567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06575754,"about_ca_topic_score_gemma":0.04821763,"domain_scores_codex":[0.9984897,0.0002025285,0.0002439807,0.0001372241,0.0007605615,0.0001659291],"domain_scores_gemma":[0.9945089,0.000758859,0.00066203,0.0001379814,0.003555441,0.0003768146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008471331,0.00001671038,0.001226521,0.002614626,0.00002816127,0.00009279488,0.0000742449,0.001899053,0.0001309137,0.007572419,0.8965935,0.08966637],"study_design_scores_gemma":[0.00002048726,0.00006248811,0.01109897,0.003852303,0.00003450665,0.0001004862,0.0001859703,0.0007271282,0.0001630039,0.00227402,0.9814239,0.00005676281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008931865,0.4565449,0.003352069,0.1601646,0.04538934,0.0003206109,0.1489169,0.001697819,0.1746819],"genre_scores_gemma":[0.1115925,0.6820455,0.00404842,0.01826895,0.01615829,0.0004631768,0.0791451,0.0004504295,0.08782778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06575754,"threshold_uncertainty_score":0.1307496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1239594158212809,"score_gpt":0.4798469908706909,"score_spread":0.3558875750494099,"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."}}