{"id":"W7114769174","doi":"10.1111/oet.70014","title":"Economic Indicators","year":2025,"lang":"en","type":"article","venue":"Oil and Energy Trends","topic":"German Economic Analysis & Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic indicator; Economic forecasting; Tonne; Czech; Industrial production; Production (economics)","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":[0.004666172,0.002000309,0.001348422,0.01120606,0.0007456907,0.002771981,0.001875831,0.001046821,0.1033605],"category_scores_gemma":[0.02279971,0.0005128483,0.0008669466,0.01752174,0.0003904445,0.002964015,0.001404192,0.00272876,0.09671246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002896081,"about_ca_system_score_gemma":0.00519168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02801765,"about_ca_topic_score_gemma":0.0121903,"domain_scores_codex":[0.9921257,0.001325404,0.001415661,0.001014649,0.003445175,0.0006733482],"domain_scores_gemma":[0.9760367,0.001820501,0.002433483,0.001235603,0.01780128,0.0006723697],"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":[0.0001052389,0.00004249294,0.003811641,0.000500583,0.00003230156,0.00002978672,0.00007453193,0.0002725189,0.00008616412,0.005948248,0.9579917,0.03110487],"study_design_scores_gemma":[0.00003616885,0.00002897382,0.01755744,0.0003751578,0.0000203474,0.0000722925,0.0001427661,0.0001820556,0.00008443905,0.001159737,0.9803197,0.00002096881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002740026,0.003711198,0.002457183,0.002968442,0.002000874,0.0007583266,0.8073158,0.001307242,0.1767409],"genre_scores_gemma":[0.013636,0.005238492,0.005746755,0.001102533,0.0006558717,0.001993997,0.8803909,0.0007939727,0.0904414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1033605,"threshold_uncertainty_score":0.3457755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008065268256387311,"score_gpt":0.1991215279658992,"score_spread":0.1910562597095119,"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."}}