{"id":"W3121869987","doi":"","title":"When is nonfundamentalness in SVARs a real problem?","year":2020,"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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of British Columbia","funders":"","keywords":"Business cycle; Identification (biology); Econometrics; Simple (philosophy); Point (geometry); Economics; Set (abstract data type); Prior information; Computer science; Macroeconomics; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006697814,0.001076025,0.001866556,0.00230882,0.0004556329,0.000704075,0.002557179,0.001113354,0.005118306],"category_scores_gemma":[0.00008063766,0.001541713,0.0007139816,0.0009590111,0.0002842816,0.001319361,0.001720273,0.001777741,0.004014139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917625,"about_ca_system_score_gemma":0.000412861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03072226,"about_ca_topic_score_gemma":0.001910979,"domain_scores_codex":[0.9937791,0.0001116914,0.001922959,0.002567773,0.0002085031,0.00141],"domain_scores_gemma":[0.994782,0.0001152333,0.001637972,0.002537732,0.0001012714,0.0008257908],"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":[0.0003918585,0.002391035,0.06930631,0.001457004,0.002080312,0.0002155685,0.1542743,0.006216511,0.0001395621,0.2767433,0.4809412,0.005843071],"study_design_scores_gemma":[0.006779047,0.0003699341,0.05498921,0.0003839731,0.000305262,0.00009603438,0.005400239,0.05692673,0.0002179863,0.3382378,0.5301569,0.006136843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8508148,0.002521659,0.001570488,0.05737843,0.001400722,0.003190609,0.006106555,0.0009329615,0.07608374],"genre_scores_gemma":[0.9758048,0.002857451,0.004333714,0.002607477,0.0008155019,0.0004079796,0.001636004,0.0003192509,0.01121783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.148874,"threshold_uncertainty_score":0.9987032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06917544435454709,"score_gpt":0.2250179312087319,"score_spread":0.1558424868541848,"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."}}