{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003812348,0.0001781845,0.0002520591,0.000927233,0.0004014305,0.001664086,0.000183325,0.0003884935,0.00373024],"category_scores_gemma":[0.0008025611,0.00009907655,0.0004847971,0.001919481,0.0005902624,0.002055627,0.001088805,0.0005538553,0.0002056836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008224698,"about_ca_system_score_gemma":0.0005128696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006466182,"about_ca_topic_score_gemma":0.00786982,"domain_scores_codex":[0.9998154,0.00003977605,0.000009682462,0.00003226543,0.00003404773,0.00006880239],"domain_scores_gemma":[0.999316,0.0002657814,0.0002380782,0.00003240274,0.00006349372,0.00008422838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005178831,0.0001272924,0.8206001,0.0003053129,0.0002593988,0.002398581,0.002459838,0.02655472,0.003248396,0.09588599,0.001551795,0.04609068],"study_design_scores_gemma":[0.00002026912,0.0002042103,0.8649739,0.0003019061,0.0002310841,0.001254665,0.009476343,0.03198252,0.00307419,0.0647746,0.02364826,0.00005805802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694484,0.001636222,0.001328954,0.000833418,0.000007820189,0.000005550678,0.0005444526,0.000007451587,0.02618766],"genre_scores_gemma":[0.9981366,0.000543703,0.00016732,0.00002831448,0.000006393006,0.000002864768,0.0001598872,0.00000228584,0.0009524407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006466182,"threshold_uncertainty_score":0.01285708,"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."}}