{"id":"W4250338333","doi":"10.24124/2009/bpgub1384","title":"The impact of government policy on the evolution of the forest industries of New Zealand and Uruguay: an industry perspective","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Government (linguistics); Perspective (graphical); Legislation; Forest industry; Investment (military); Business; Natural resource economics; Public economics; Economics; Forestry; Political science; Geography; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013378,0.0001691343,0.0003154775,0.0007728194,0.0008214391,0.003188877,0.0003522374,0.0007863105,0.005192101],"category_scores_gemma":[0.003036367,0.0001684125,0.0005015398,0.001228976,0.001243498,0.00113016,0.0008226741,0.00116714,0.0002581349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01024322,"about_ca_system_score_gemma":0.003577247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4891642,"about_ca_topic_score_gemma":0.4983101,"domain_scores_codex":[0.9993698,0.0001982724,0.00002263085,0.00005194916,0.0001120372,0.0002453461],"domain_scores_gemma":[0.9986165,0.0003786821,0.0003808642,0.00003412981,0.000418993,0.0001708534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001068669,0.0004889664,0.5587547,0.0008951181,0.0005785877,0.003070091,0.008626994,0.03576736,0.009374171,0.2088962,0.01679625,0.155683],"study_design_scores_gemma":[0.00004028704,0.0002160796,0.9405922,0.0003005569,0.0002005791,0.0001484297,0.007777866,0.009486318,0.001471203,0.01030392,0.02940807,0.00005450342],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080617,0.005272194,0.0004081563,0.01187155,0.00005250748,0.00003427379,0.0007016437,0.00001452371,0.07358355],"genre_scores_gemma":[0.9887239,0.003765434,0.000264468,0.0003060927,0.00003064694,0.00001376363,0.0002001094,0.000007834732,0.006687797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4891642,"threshold_uncertainty_score":0.9726338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282713464986464,"score_gpt":0.254719437320752,"score_spread":0.2218923026708874,"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."}}