{"id":"W4232570633","doi":"10.1108/oxan-es198519","title":"Euro-area first-quarter growth is set to accelerate","year":2015,"lang":"en","type":"other","venue":"Emerald expert briefings","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); Set (abstract data type); Computer science; Geography; Archaeology; Programming language","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":[0.005123267,0.001318282,0.001009726,0.002107912,0.0009374937,0.00786336,0.001375241,0.005409609,0.09183143],"category_scores_gemma":[0.01794192,0.0004452713,0.0009552871,0.002057017,0.0007400375,0.003828324,0.003807584,0.005409119,0.08900472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205505,"about_ca_system_score_gemma":0.006626128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00639719,"about_ca_topic_score_gemma":0.004264758,"domain_scores_codex":[0.9963213,0.0002889833,0.0002373487,0.0003975879,0.001981816,0.0007729463],"domain_scores_gemma":[0.9886769,0.0005168043,0.00167412,0.001023279,0.005036931,0.003072016],"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":[0.0001900661,0.00004511117,0.000597437,0.0001174448,0.000008502759,0.00003815574,0.000027401,0.0001712091,0.000338162,0.01000968,0.9656254,0.02283143],"study_design_scores_gemma":[0.00018518,0.0001019708,0.01123062,0.0002569237,0.00001304593,0.00007761749,0.00005517205,0.0003423833,0.001202004,0.003791392,0.9827139,0.00002973582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.009262949,0.005105001,0.005495755,0.06786733,0.06066397,0.0007140721,0.06038479,0.009550295,0.7809557],"genre_scores_gemma":[0.07542603,0.004992528,0.008421289,0.03162638,0.01485764,0.001547825,0.05907454,0.006933542,0.7971202],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09183143,"threshold_uncertainty_score":0.3072067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04986565753325092,"score_gpt":0.2431385072033282,"score_spread":0.1932728496700773,"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."}}