{"id":"W4391155364","doi":"10.1016/j.polgeo.2024.103065","title":"External Europeanization through timber trade agreements: Tracing causality in environmental governance reform","year":2024,"lang":"en","type":"article","venue":"Political Geography","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Causality (physics); Corporate governance; Tracing; Environmental governance; Political science; International trade; Economics; Business; Economic system; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000261826,0.0002116377,0.000185588,0.00009053115,0.0001165413,0.0003542657,0.0001687694,0.00007735371,0.0001913459],"category_scores_gemma":[0.00005787571,0.0001938866,0.0001724181,0.0005214776,0.0001845699,0.001416176,0.00008684942,0.0002362754,0.00009940568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345636,"about_ca_system_score_gemma":0.00001264765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00457302,"about_ca_topic_score_gemma":0.00006670171,"domain_scores_codex":[0.9981804,0.00002993626,0.000348286,0.0003749644,0.0003689973,0.0006974518],"domain_scores_gemma":[0.9997026,0.0000264606,0.00004825442,0.0001695402,0.00001150014,0.00004168671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000349785,0.0005575407,0.3158895,0.0005600057,0.00006212568,0.0001684379,0.0006368275,0.00004438245,0.0000592384,0.6789812,0.0002981928,0.002707643],"study_design_scores_gemma":[0.000376574,0.00001985855,0.9195709,0.0001402668,0.00007396971,0.000003285458,0.002018556,0.0008911011,0.00002453623,0.06652652,0.01000767,0.0003467108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108156,0.0005799619,0.0004490495,0.002171784,0.0004585777,0.0002843729,0.00005185331,0.000175087,0.08501374],"genre_scores_gemma":[0.9971361,0.00003180383,0.00005674302,0.001831958,0.0008160947,0.000006796408,0.00003763954,0.00002773597,0.00005516635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6124547,"threshold_uncertainty_score":0.7906467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426585850043086,"score_gpt":0.2537859580167593,"score_spread":0.2395200995163285,"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."}}