{"id":"W2376651853","doi":"","title":"Response of Chinese Wooden Product Industry to Anti-dumping and Anti-subsidy Investigation","year":2009,"lang":"en","type":"article","venue":"Linye jixie","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Dumping; Product (mathematics); Business; European union; International trade; Economics; Market economy","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":[],"consensus_categories":[],"category_scores_codex":[0.0003929611,0.0001580093,0.0002267299,0.0001959039,0.00008806091,0.0001170205,0.0001658816,0.0000917364,0.00001763951],"category_scores_gemma":[0.0002880229,0.0001436765,0.0000347446,0.0007136782,0.00004222112,0.0005687647,0.00008153207,0.0001607048,0.00003472707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001047227,"about_ca_system_score_gemma":0.00002547376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006978231,"about_ca_topic_score_gemma":0.000007735128,"domain_scores_codex":[0.9990569,0.00002462892,0.0002336678,0.0002907073,0.0001902568,0.0002037785],"domain_scores_gemma":[0.9994874,0.00002975718,0.0001255093,0.0002163328,0.0001143822,0.00002660475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001223741,0.00008136587,0.932189,0.0001148295,0.00001480529,0.00001463433,0.0001481982,0.00014964,0.06310501,0.001994827,0.0002191382,0.001846182],"study_design_scores_gemma":[0.0003239758,0.00002137439,0.9909419,0.0001354723,0.00001632574,0.000002799617,0.00007578765,0.0001017094,0.003441156,0.001800969,0.002958621,0.0001798997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922474,0.0001107837,0.00001993814,0.005251196,0.0001556303,0.0002340676,0.000002184147,0.00007298594,0.001905832],"genre_scores_gemma":[0.9966383,0.000005575578,0.0001379701,0.002590743,0.0005167245,0.000004274073,0.0000086092,0.00001108616,0.00008670721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05966385,"threshold_uncertainty_score":0.5858957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057985145155992,"score_gpt":0.2448279549031153,"score_spread":0.2242481034515554,"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."}}