{"id":"W3123160327","doi":"","title":"Sentiments in SVARs","year":2016,"lang":"en","type":"preprint","venue":"Toulouse 1 Capitole Publications (Université Toulouse I Capitole)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Econometrics; Variance (accounting); Identification (biology); Benchmark (surveying); Economics; Consumer confidence index; Macroeconomics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001598214,0.0003731272,0.0006535891,0.001213639,0.000408233,0.002886185,0.0004790161,0.0006149826,0.006595331],"category_scores_gemma":[0.008862873,0.0003192216,0.0004994569,0.0009022373,0.001012287,0.001699243,0.001230896,0.001008189,0.0007357401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007108983,"about_ca_system_score_gemma":0.0003234239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003039046,"about_ca_topic_score_gemma":0.001514057,"domain_scores_codex":[0.9990879,0.0002405108,0.00006568431,0.0002382951,0.0001774339,0.000190049],"domain_scores_gemma":[0.9970784,0.001084505,0.001133243,0.000255593,0.0002675786,0.0001806747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005905587,0.0001770043,0.1064999,0.0002961374,0.0004915314,0.0009803133,0.001256895,0.1099017,0.008189032,0.682097,0.0114113,0.07810847],"study_design_scores_gemma":[0.0001054604,0.0002394055,0.1443525,0.000161781,0.0001802707,0.0003716763,0.0009586234,0.3582207,0.002188348,0.4768816,0.01620506,0.0001346182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035897,0.001200797,0.06682234,0.002261899,0.0002314833,0.00003886498,0.002000589,0.0003746484,0.02347968],"genre_scores_gemma":[0.9961793,0.0002573976,0.0009203012,0.00007354911,0.00009887266,0.000008789174,0.0004821006,0.00002880986,0.001950947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006595331,"threshold_uncertainty_score":0.02206361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05161743074420239,"score_gpt":0.2186253931217533,"score_spread":0.1670079623775509,"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."}}