{"id":"W2487374886","doi":"","title":"„Challenges for Forecasting – Structural Breaks, Revisions and Measurement Errors” 16th IWH-CIREQ Macroeconometric Workshop","year":2016,"lang":"de","type":"article","venue":"Econstor (Econstor)","topic":"German Economic Analysis & Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Political science","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":[0.09117813,0.0007943708,0.001903401,0.00312642,0.0009572077,0.007005879,0.002557144,0.004210369,0.004114055],"category_scores_gemma":[0.3632032,0.001158871,0.00158588,0.006792676,0.002823771,0.009268346,0.00254203,0.007144855,0.001609411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003088912,"about_ca_system_score_gemma":0.003223473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068041,"about_ca_topic_score_gemma":0.008868601,"domain_scores_codex":[0.9596193,0.02945348,0.003037712,0.00277197,0.004463873,0.0006537163],"domain_scores_gemma":[0.7501553,0.1906259,0.01711246,0.02465423,0.01597389,0.001478214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003818638,0.00008914885,0.05450634,0.000982585,0.0009436081,0.0004151149,0.002823654,0.07931075,0.0007202202,0.2689038,0.1364956,0.4544272],"study_design_scores_gemma":[0.00009632733,0.00007880751,0.02341295,0.001795454,0.0001712887,0.0001778366,0.001415085,0.100677,0.0009455851,0.7943729,0.07664022,0.0002165747],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08085953,0.0475161,0.4363278,0.4016351,0.00706455,0.0002331284,0.01095261,0.0009693319,0.01444179],"genre_scores_gemma":[0.7621006,0.0304228,0.1666203,0.0133226,0.009711528,0.0006971589,0.009984164,0.0009378149,0.00620301],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09117813,"threshold_uncertainty_score":0.4822018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08437253606741958,"score_gpt":0.2526743052622305,"score_spread":0.1683017691948109,"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."}}