{"id":"W3175513142","doi":"","title":"The Measurement of Revision Effects on Business Cycle Turning Points.","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Business cycle; Recession; Econometrics; Dynamic factor; Economics; Real gross domestic product; Turning point; Great recession; Set (abstract data type); Macroeconomics; Computer science; Keynesian economics; Period (music)","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":[0.0124907,0.0005159574,0.0007161679,0.001957926,0.0004168816,0.001985457,0.0005521115,0.0007340421,0.002410585],"category_scores_gemma":[0.1839631,0.0004063712,0.0005680067,0.002182671,0.001108372,0.002697301,0.001764699,0.002053746,0.0004951223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000742332,"about_ca_system_score_gemma":0.0004467913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003717824,"about_ca_topic_score_gemma":0.003064952,"domain_scores_codex":[0.9937395,0.002798542,0.000594919,0.0009094855,0.001638002,0.0003196299],"domain_scores_gemma":[0.7660905,0.1554533,0.05010846,0.0156013,0.01116545,0.001581004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001163982,0.0001638265,0.8137372,0.0003389692,0.0008153489,0.0003673645,0.001675421,0.03738862,0.004299662,0.01202924,0.003127811,0.1248925],"study_design_scores_gemma":[0.00003352341,0.0006237472,0.9213189,0.0001464026,0.0003618669,0.0004698289,0.000664879,0.05072189,0.005761346,0.01491164,0.004835383,0.0001505668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399453,0.001364943,0.0439789,0.0008352845,0.0002445507,0.0001130784,0.001915406,0.0003047683,0.01129766],"genre_scores_gemma":[0.9967226,0.0002025379,0.001881401,0.0000613415,0.00006729141,0.0000159496,0.0005971757,0.0000403448,0.0004113479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0124907,"threshold_uncertainty_score":0.06605792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747629866920121,"score_gpt":0.2343253035574735,"score_spread":0.1968490048882723,"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."}}