{"id":"W3160848045","doi":"","title":"\"Two roads diverged in [soft]wood\". Targeted dumping, differential pricing methodology, and zeroing: US-Canada anti-dumping in softwood lumber (WTDS534/R)","year":2021,"lang":"en","type":"preprint","venue":"Cadmus - EUI Research Repository (European University Institute)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softwood; Subsidy; Appeal; Dumping; Economics; International trade; Business; International economics; Law; Political science; Engineering; Market economy; Pulp and paper industry","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"],"consensus_categories":[],"category_scores_codex":[0.002679818,0.0005501112,0.001323407,0.001062653,0.0007125501,0.0004521163,0.001277456,0.0004104672,0.00005977821],"category_scores_gemma":[0.000696146,0.0008132354,0.000237586,0.0006376302,0.0005359594,0.0006351497,0.003353645,0.002847401,0.00003784514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022949,"about_ca_system_score_gemma":0.0009593554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3985839,"about_ca_topic_score_gemma":0.2025566,"domain_scores_codex":[0.9943152,0.00120657,0.001099067,0.001937255,0.0002196761,0.001222249],"domain_scores_gemma":[0.9975876,0.0002573465,0.0005643506,0.001000759,0.0001609912,0.0004289042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002582326,0.0005951689,0.940377,0.0009782482,0.000762361,0.01659358,0.005269911,0.02193443,0.002390032,0.008414275,0.001226673,0.001200108],"study_design_scores_gemma":[0.004989725,0.0001212824,0.9551579,0.001087223,0.00007003614,0.0001557701,0.003053536,0.007596087,0.0006242408,0.0006431742,0.02429731,0.002203728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667767,0.00225032,0.000816836,0.00017055,0.002373339,0.0005691126,0.00008298973,0.00006541043,0.02689479],"genre_scores_gemma":[0.9958032,0.001771539,0.0009017304,0.00007604839,0.0002792977,0.000002578322,0.0001449943,0.00006546448,0.000955088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1960273,"threshold_uncertainty_score":0.9994531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146865469994295,"score_gpt":0.2699749731885194,"score_spread":0.1231095031942243,"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."}}