{"id":"W2936751630","doi":"","title":"Austria's economy set to grow by close to 3% in 2018","year":2018,"lang":"en","type":"article","venue":"Monetary Policy & the Economy","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Quarter (Canadian coin); Inflation (cosmology); Real gross domestic product; Forecast period; Falling (accident); Percentage point; Macroeconomics; Monetary economics; Production (economics); Geography; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008846286,0.0001773935,0.0002797484,0.0001473153,0.0008365004,0.0001389508,0.000602082,0.00009143967,0.000852274],"category_scores_gemma":[0.0001835241,0.0001718478,0.00007999611,0.0003183805,0.0003980526,0.0002729229,0.0001413426,0.0001237142,0.004541381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006534428,"about_ca_system_score_gemma":0.0003841897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05678616,"about_ca_topic_score_gemma":0.01980338,"domain_scores_codex":[0.9983957,0.0001555221,0.000367213,0.0003837184,0.00005880575,0.0006390723],"domain_scores_gemma":[0.9990507,0.0002093,0.00009308173,0.0002946327,0.00003904513,0.0003131943],"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":[0.00002009655,0.00003570108,0.01241348,0.000001831555,0.00006107352,3.550533e-7,0.04068177,0.00001478953,0.000002847617,0.02629718,0.9177314,0.002739473],"study_design_scores_gemma":[0.000161627,0.00004378378,0.009049439,0.000005921605,0.00000750899,3.125075e-7,0.006192558,0.000005185128,0.00002206141,0.01731871,0.9669768,0.0002161169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4373688,0.0001135681,0.00001595919,0.1962859,0.0004939416,0.000698543,0.00006750705,0.00003843822,0.3649173],"genre_scores_gemma":[0.9570152,0.00003664832,0.0001283171,0.02075378,0.005627564,0.0001772658,0.00001579593,0.00001830205,0.01622711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5196463,"threshold_uncertainty_score":0.9980826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03981396858327979,"score_gpt":0.3269740474819844,"score_spread":0.2871600788987046,"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."}}