{"id":"W2945046487","doi":"","title":"Climate change and trade agreements: friends or foes?","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International trade; Climate change; Subsidy; Trade barrier; Free trade; Economics; Greenhouse gas; Global warming; Goods and services; International economics; Natural resource economics; Business; Economy; Market economy; Ecology","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":[0.004861307,0.0004517721,0.000397843,0.001708582,0.004652413,0.01362694,0.0007650491,0.004669577,0.01620859],"category_scores_gemma":[0.01231407,0.0002116184,0.0004580155,0.006615151,0.007793568,0.01989085,0.003249727,0.004494738,0.002601761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003342416,"about_ca_system_score_gemma":0.003100255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006258347,"about_ca_topic_score_gemma":0.008760461,"domain_scores_codex":[0.9945245,0.003127101,0.0001255868,0.0003135469,0.001030935,0.0008783324],"domain_scores_gemma":[0.9921387,0.004292763,0.000928794,0.0008114076,0.001130736,0.000697621],"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":[0.00006038452,0.00004415063,0.005298998,0.0003325228,0.00003423429,0.0001780946,0.006485329,0.0004866236,0.00007816983,0.6316307,0.1970614,0.1583095],"study_design_scores_gemma":[0.00000511474,0.00001621487,0.004367219,0.001011795,0.00001126706,0.0001127976,0.01165005,0.0001810766,0.00006030245,0.2369022,0.7456615,0.00002037273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01470755,0.1356991,0.002080154,0.547657,0.006573073,0.00002202105,0.0004518637,0.00009377041,0.2927156],"genre_scores_gemma":[0.6083266,0.1892663,0.003393545,0.1238892,0.01446583,0.0001107492,0.0007934935,0.0002337496,0.05952056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01620859,"threshold_uncertainty_score":0.05422312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.263760784190587,"score_gpt":0.273876681951354,"score_spread":0.01011589776076705,"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."}}