{"id":"W4319602743","doi":"10.1186/s40854-023-00462-w","title":"Correction: Nonlinear dynamics in Divisia monetary aggregates: an application of recurrence quantification analysis","year":2023,"lang":"en","type":"article","venue":"Financial Innovation","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Divisia index; Nonlinear system; Dynamics (music); Econometrics; Economics; Statistical physics; Divisia monetary aggregates index; Applied mathematics; Computer science; Mathematics; Keynesian economics; Statistics; Physics; Monetary policy; Central bank; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007619095,0.000109058,0.0003954499,0.001857424,0.00007739823,0.00003053749,0.0001571993,0.0001024527,0.00004450312],"category_scores_gemma":[0.0002000077,0.0001412058,0.00008469624,0.01424744,0.00003159089,0.0003072741,0.00002771629,0.0001040245,0.0001061421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398717,"about_ca_system_score_gemma":0.00002263057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00335649,"about_ca_topic_score_gemma":0.004013494,"domain_scores_codex":[0.9983034,0.0000185833,0.00107591,0.0003856813,0.0000612618,0.0001551815],"domain_scores_gemma":[0.9986068,0.00002956815,0.0007722304,0.0003858327,0.0001875168,0.00001806263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002971635,0.0001631449,0.6210729,0.00004476284,0.0000827102,8.464602e-7,0.0003366832,0.01871613,0.0000727714,0.3153935,0.0002799869,0.04380685],"study_design_scores_gemma":[0.00007550982,0.00002747847,0.3871105,0.000007979082,0.00001265133,1.570315e-7,0.00006559264,0.6065167,0.00002786717,0.004219699,0.001837281,0.00009856134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8616325,0.0001556947,0.1359567,0.0001974807,0.0005104218,0.0002601287,0.0002029958,0.00007072023,0.00101336],"genre_scores_gemma":[0.9964783,0.00004805577,0.0004095761,0.00001610084,0.00008302359,0.00004486377,0.002598897,0.0000106104,0.0003106222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5878006,"threshold_uncertainty_score":0.6845425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399967989784481,"score_gpt":0.2563515846917473,"score_spread":0.2223519047939025,"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."}}