{"id":"W4230149952","doi":"10.1108/oxan-es227421","title":"Turkey’s fast third-quarter GDP growth will be revised","year":2017,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; History; Archaeology","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":[0.003161752,0.001393482,0.0008726693,0.002611921,0.001349684,0.00673467,0.001320257,0.005165111,0.1290382],"category_scores_gemma":[0.01169804,0.0004923522,0.0008043361,0.001699008,0.0007128722,0.003188911,0.001800976,0.005074037,0.1774819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003591578,"about_ca_system_score_gemma":0.009445217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01844086,"about_ca_topic_score_gemma":0.01652557,"domain_scores_codex":[0.9975255,0.0001928753,0.0002164976,0.0002053748,0.001424546,0.0004350538],"domain_scores_gemma":[0.9868765,0.0004788477,0.0009958267,0.0005954651,0.009696499,0.001356822],"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":[0.00002311433,0.000006511135,0.00009368674,0.00004149228,0.000001321603,0.00002344258,0.000005459779,0.0000616735,0.00005889632,0.0006274026,0.992109,0.00694797],"study_design_scores_gemma":[0.00001610082,0.00002179085,0.00221957,0.000119747,0.000004506021,0.00003563609,0.00004709144,0.0001296472,0.0002748519,0.0004529969,0.9966618,0.00001642233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.003100618,0.005951209,0.001641674,0.09611634,0.2403141,0.0005042027,0.03679351,0.006562276,0.6090161],"genre_scores_gemma":[0.01150345,0.003774438,0.001974116,0.01324404,0.01227847,0.0003576748,0.01899298,0.002369338,0.9355055],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1290382,"threshold_uncertainty_score":0.4316758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185782721076588,"score_gpt":0.2395241173390315,"score_spread":0.2176662901282656,"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."}}