{"id":"W2088475407","doi":"10.1139/x10-150","title":"Effects of exchange rate volatility on export volume and prices of forest products","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exchange rate; Volatility (finance); Economics; Autoregressive conditional heteroskedasticity; Econometrics; Pooling; Autoregressive model; Monetary economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005128636,0.0001148957,0.0004409948,0.0008114539,0.0001095399,0.00004950811,0.0003542866,0.0001217717,0.0001727388],"category_scores_gemma":[0.002748527,0.0001129585,0.00008104929,0.0004072172,0.0003890936,0.0001934123,0.00003825123,0.0006432027,0.000003699591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008042973,"about_ca_system_score_gemma":0.0005104712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009178769,"about_ca_topic_score_gemma":0.0795448,"domain_scores_codex":[0.9984755,0.00006461232,0.0006887773,0.0002411695,0.0001195745,0.0004103914],"domain_scores_gemma":[0.9978623,0.0002927553,0.0004984514,0.0003545041,0.0005291579,0.0004628694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006081815,0.00005104977,0.9894401,0.0004100419,0.00003029853,0.00002314921,0.0002540835,0.000002060709,0.0001067348,0.00813323,0.0005594925,0.0009289857],"study_design_scores_gemma":[0.0003754524,0.000411964,0.9761156,0.00005969364,0.000003935326,0.000007165814,0.00001475491,0.002382487,0.0001968333,0.01347712,0.006866438,0.0000885781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948854,0.0009355428,0.00004092028,0.0004176318,0.0003455702,0.0003137893,0.00007873276,0.00000135002,0.002981091],"genre_scores_gemma":[0.999099,0.00009218929,0.0001880217,0.00001040463,0.0001191659,0.000005139354,0.00000302976,0.00001485948,0.0004682238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07036603,"threshold_uncertainty_score":0.9974192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606178931102091,"score_gpt":0.2645501752056621,"score_spread":0.2284883858946412,"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."}}