{"id":"W7137751902","doi":"","title":"CINTRAFOR Working Paper 104","year":2016,"lang":"en","type":"other","venue":"ResearchWorks at the University of Washington (University of Washington)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; Cooperative State Research, Education, and Extension Service; National Council for Air and Stream Improvement; U.S. Department of Agriculture","keywords":"Tariff; Softwood; Consumption (sociology); Supply and demand; Commercial policy; China; Trade barrier","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001761636,0.001247302,0.001160637,0.00367248,0.002258001,0.01121231,0.001984257,0.003666339,0.5183187],"category_scores_gemma":[0.008240695,0.0005778081,0.0008737748,0.006766171,0.0006849294,0.005510748,0.002682181,0.003484822,0.2477394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005245814,"about_ca_system_score_gemma":0.007106428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203293,"about_ca_topic_score_gemma":0.01333291,"domain_scores_codex":[0.9983642,0.0002188077,0.0001076967,0.0003963168,0.0005979271,0.0003150665],"domain_scores_gemma":[0.9973678,0.0005053987,0.0002076073,0.0005071271,0.001065987,0.0003460705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006789721,0.00003919331,0.0004748027,0.0002392908,0.00001272073,0.00007764524,0.0001146368,0.0001651981,0.00008386786,0.03897918,0.902924,0.05682167],"study_design_scores_gemma":[0.0000120547,0.000005593409,0.0006584733,0.0002088259,0.000005099992,0.00002882567,0.00007705281,0.0000453625,0.00006875659,0.002804892,0.9960788,0.000006220268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001895463,0.01290147,0.001205363,0.02565566,0.005908259,0.0001723856,0.04943978,0.001167025,0.9016545],"genre_scores_gemma":[0.02094058,0.01300432,0.002058428,0.003284081,0.002022924,0.0003984054,0.05123207,0.001611529,0.9054476],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4816813,"threshold_uncertainty_score":0.6870599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020103154720593,"score_gpt":0.2319850471121888,"score_spread":0.2117840155649829,"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."}}