{"id":"W295089276","doi":"","title":"U.S.-Canada Lumber Trade Dispute - Analysis and Projection","year":2006,"lang":"en","type":"article","venue":"Competition Forum","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International trade; Tariff; Government (linguistics); Subsidy; Dispute resolution; Business; Political science; Economics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.00210624,0.0004342534,0.0002337577,0.01196889,0.006151916,0.008637148,0.002039125,0.001373223,0.02087483],"category_scores_gemma":[0.006065816,0.0002667155,0.0004378627,0.02688762,0.001484546,0.001798278,0.001734116,0.001531086,0.001999632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05820976,"about_ca_system_score_gemma":0.09801456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9366764,"about_ca_topic_score_gemma":0.9473046,"domain_scores_codex":[0.9966672,0.0001799139,0.00008083411,0.0001254256,0.002291648,0.0006550027],"domain_scores_gemma":[0.9897735,0.0009313129,0.0004070304,0.0001507682,0.007958594,0.000778811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007988507,0.0001048013,0.03000686,0.0006796709,0.0000138963,0.0003035715,0.00280805,0.001212198,0.000105502,0.05075711,0.8297598,0.08416861],"study_design_scores_gemma":[0.00001800753,0.00003619122,0.07737906,0.001410206,0.0000270407,0.0001325027,0.02592427,0.002090001,0.0004262089,0.003151439,0.8893558,0.000049279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08080609,0.02169632,0.001187333,0.0363198,0.001534377,0.001513182,0.05183467,0.0002860992,0.8048221],"genre_scores_gemma":[0.4600034,0.04846925,0.005711621,0.009550635,0.0007455168,0.001048262,0.05941408,0.0001623055,0.4148949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06332356,"threshold_uncertainty_score":0.4223434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0032792318497763,"score_gpt":0.184328191215328,"score_spread":0.1810489593655517,"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."}}