{"id":"W7018751477","doi":"","title":"Economic and industry outlook 2017 : forecasts update as of Q3 2017","year":2017,"lang":"en","type":"book","venue":"MAPFRE (Fundación Mapfre)","topic":"German Economic Analysis & Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic forecasting; Index (typography); Economic indicator; Economic risk; Economic impact analysis; Quarter (Canadian coin); Consensus forecast; Economic analysis; Economic data","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":[0.002305212,0.002038509,0.001171026,0.006705232,0.0006651737,0.006470349,0.001261295,0.002655986,0.1122493],"category_scores_gemma":[0.009216804,0.0007919065,0.0008520823,0.01089348,0.0003992786,0.006625331,0.001908523,0.00439601,0.2131904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004122281,"about_ca_system_score_gemma":0.008418568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05175807,"about_ca_topic_score_gemma":0.03610596,"domain_scores_codex":[0.9977247,0.0001106773,0.0001445056,0.0001268418,0.001698001,0.0001953059],"domain_scores_gemma":[0.9928083,0.0003357397,0.000446344,0.0002693071,0.005781802,0.0003584228],"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":[0.00001543592,0.000006762059,0.0001261127,0.0000475142,0.000001954167,0.000006003148,0.000005688623,0.0001544168,0.00002344143,0.0007318788,0.9909142,0.00796651],"study_design_scores_gemma":[0.00001516997,0.000004890936,0.001091032,0.0001320547,0.000004351843,0.000009891038,0.00002061361,0.0002097477,0.0001047824,0.00120935,0.9971845,0.00001363186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001290081,0.006161088,0.002485445,0.01057542,0.02217766,0.0002859308,0.7938856,0.003285047,0.1598537],"genre_scores_gemma":[0.005659634,0.009171042,0.00355681,0.001569734,0.003932463,0.0005335222,0.6849853,0.002953269,0.2876382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1122493,"threshold_uncertainty_score":0.3755113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740154471917836,"score_gpt":0.2510142205804376,"score_spread":0.2136126758612592,"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."}}