{"id":"W2130675728","doi":"","title":"Climate Change and Development: Trade Opportunities of Climate Smart Goods and Technologies in Asia","year":2011,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International trade; Investment (military); Gravity model of trade; Value (mathematics); International economics; Scope (computer science); Business; Climate change; Economics; Bilateral trade; China; Geography; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003797544,0.0002102173,0.0005548563,0.0004442722,0.0001616957,0.00001045543,0.0004031724,0.0001395532,0.00007061261],"category_scores_gemma":[0.00002347151,0.0002843404,0.00008005869,0.0001159135,0.000639686,0.0003183359,0.000531096,0.0002143949,0.000007367585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005389273,"about_ca_system_score_gemma":0.00002630082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008890081,"about_ca_topic_score_gemma":0.001225783,"domain_scores_codex":[0.9986874,0.0000299169,0.0004366565,0.000397867,0.00004192505,0.0004062139],"domain_scores_gemma":[0.9991967,0.00004888369,0.0003405962,0.0003077658,0.00001185262,0.00009421465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004764175,0.0004257237,0.6374492,0.0006995056,0.000210135,0.0001150687,0.07313516,0.000001438855,0.00004141612,0.2092688,0.00005626555,0.0781209],"study_design_scores_gemma":[0.002067237,0.0003441418,0.8684331,0.0003050766,0.00003161235,0.00004329368,0.08137973,0.001119393,0.0001263706,0.00849741,0.03694085,0.0007117868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9286448,0.002288731,0.00001937508,0.0004440094,0.00004659006,0.0002491467,0.0006268342,0.00005170584,0.06762884],"genre_scores_gemma":[0.9618994,0.03147306,0.006487773,0.00003323544,0.000004928873,0.000001598577,0.00002931634,0.00001712732,0.00005355569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2309839,"threshold_uncertainty_score":0.9999609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564322984352974,"score_gpt":0.1980311713475953,"score_spread":0.04159887291229791,"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."}}