{"id":"W2777574563","doi":"","title":"Austria’s economy will grow by 2¾% in 2017","year":2017,"lang":"en","type":"article","venue":"Monetary Policy & the Economy","topic":"German Economic Analysis & Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Boom; Real gross domestic product; Economy; Macroeconomics; Geography; Engineering","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":[0.001139794,0.0007533388,0.0003928577,0.0006100545,0.0005888035,0.002474916,0.0003278602,0.001183484,0.01341845],"category_scores_gemma":[0.00185564,0.0001698424,0.0003384829,0.0004194345,0.000335949,0.001909606,0.001684613,0.001288799,0.03114042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181811,"about_ca_system_score_gemma":0.001282135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215794,"about_ca_topic_score_gemma":0.001686351,"domain_scores_codex":[0.99927,0.00005610396,0.0000401906,0.00005110907,0.0003606029,0.0002220502],"domain_scores_gemma":[0.9996388,0.00002082578,0.00007125484,0.00001714128,0.0001757834,0.00007623388],"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":[0.0005374664,0.00009388829,0.009848375,0.0007211958,0.00004619715,0.0003690607,0.000267657,0.001348465,0.003925446,0.04927545,0.6641178,0.269449],"study_design_scores_gemma":[0.00002515575,0.0001152089,0.01567531,0.0002854678,0.00001572178,0.0002153528,0.0001750514,0.0005902242,0.001300933,0.004496223,0.9770843,0.0000209967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1438922,0.04284929,0.01105546,0.07661471,0.03395598,0.0002936918,0.07020892,0.003705961,0.6174238],"genre_scores_gemma":[0.4467384,0.03885074,0.009039474,0.0137898,0.004654195,0.0007960793,0.07607295,0.0007308642,0.4093276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01341845,"threshold_uncertainty_score":0.04488915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583728736103491,"score_gpt":0.2402853081559495,"score_spread":0.2044480207949146,"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."}}