{"id":"W4383226359","doi":"10.3390/jrfm16070320","title":"A Cyclical Phenomenon among Stock & Commodity Markets","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Economics; Stock (firearms); Financial market; Monetary economics; Index (typography); Commodity; Stock market index; Financial economics; Stock market; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00075981,0.0001295449,0.00023569,0.001528303,0.0003213437,0.001312056,0.0002694861,0.0003638243,0.001777005],"category_scores_gemma":[0.005532742,0.0001487091,0.0002592502,0.003006237,0.0005725212,0.001158194,0.0005054132,0.0003691495,0.0001534027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006092991,"about_ca_system_score_gemma":0.0004109698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00468919,"about_ca_topic_score_gemma":0.005248614,"domain_scores_codex":[0.9997106,0.00005770208,0.00002840758,0.0000604127,0.0001114599,0.00003148556],"domain_scores_gemma":[0.9969764,0.001167843,0.001317025,0.0001876491,0.0002680684,0.00008289197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000157929,0.00007452898,0.7713277,0.0002270647,0.0002542146,0.001159204,0.001285725,0.0169297,0.006892781,0.07340299,0.003744588,0.1245436],"study_design_scores_gemma":[0.00001773604,0.00009616288,0.8404629,0.0000880474,0.0001240822,0.0007472661,0.001186463,0.08003394,0.002421896,0.05473665,0.02002512,0.00005981513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697435,0.002718332,0.01469183,0.001007663,0.00004775244,0.00003909241,0.0006348646,0.00007926628,0.01103773],"genre_scores_gemma":[0.9965167,0.0008292224,0.001672124,0.00007278624,0.00004540075,0.00001037245,0.0002476001,0.000008840353,0.0005969704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00468919,"threshold_uncertainty_score":0.009323776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977375639536371,"score_gpt":0.2228327958241473,"score_spread":0.2030590394287835,"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."}}