{"id":"W7052928588","doi":"","title":"Suchada V. Langley, Samarendu Mohanty, Marcelo Giugale and William H. Meyers, Exchange Rate Volatility and International Agricultural Trade. Vaughan, Ontario, Captus Press Inc.","year":2003,"lang":"fr","type":"other","venue":"Persée (Ministère de lEnseignement supérieur et de la Recherche)","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Exchange rate; Agriculture; Foreign exchange","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002425899,0.001023791,0.0009556095,0.0001444665,0.0002711707,0.0005352939,0.0005955359,0.001068681,0.006230562],"category_scores_gemma":[0.0001426277,0.0009896647,0.0002639371,0.0001719633,0.0005326057,0.0003001112,0.0004491429,0.002541172,0.00004256665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002733562,"about_ca_system_score_gemma":0.002360523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08650175,"about_ca_topic_score_gemma":0.02937329,"domain_scores_codex":[0.9933293,0.003080938,0.0006464112,0.001244004,0.0005193039,0.001180028],"domain_scores_gemma":[0.9968949,0.001389646,0.0003575294,0.0005152082,0.0001198767,0.0007228347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006254919,0.001825624,0.04413963,0.001013907,0.003287638,0.000206226,0.4216515,0.00002434223,0.005831217,0.01275227,0.388237,0.1204051],"study_design_scores_gemma":[0.002665095,0.000125824,0.01405268,0.0002891094,0.0002866134,0.00006209863,0.006116766,0.0026569,0.0004259271,0.002994512,0.9691719,0.001152613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6289504,0.00721921,0.007242635,0.008069608,0.0008762948,0.002898905,0.002206337,0.00017303,0.3423636],"genre_scores_gemma":[0.2522307,0.002828773,0.004382923,0.0007673185,0.00107661,0.0002645527,0.001507713,0.0003454391,0.736596],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5809348,"threshold_uncertainty_score":0.99976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05584246146456897,"score_gpt":0.318818381873548,"score_spread":0.262975920408979,"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."}}