{"id":"W644295468","doi":"10.1080/19186444.2014.11658386","title":"Export Potential of Environmental Goods in India: A Gravity Model Analysis","year":2014,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gravity model of trade; Gravity equation; Panel data; Economics; Estimation; China; Bilateral trade; Ordinary least squares; Sample (material); Econometrics; International trade; International economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000577682,0.0004229651,0.0006672169,0.001658771,0.0003963377,0.001722676,0.0009939247,0.0007857303,0.003493453],"category_scores_gemma":[0.001540508,0.0002965921,0.001662036,0.002543482,0.000827324,0.001669992,0.0009745396,0.0009990651,0.0002923069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665531,"about_ca_system_score_gemma":0.001440841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04535552,"about_ca_topic_score_gemma":0.02454083,"domain_scores_codex":[0.9998067,0.00005506228,0.000008492431,0.00002653188,0.0000272668,0.00007599615],"domain_scores_gemma":[0.9989281,0.0006052685,0.00013482,0.00007281639,0.000185806,0.00007323753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002096335,0.0001132105,0.03675752,0.0003334233,0.0003405966,0.001106245,0.0003098593,0.6606497,0.001012032,0.2709318,0.01247973,0.01575618],"study_design_scores_gemma":[0.00007217103,0.0001637471,0.06041405,0.0001727088,0.0008988888,0.0006471693,0.001176173,0.8303336,0.000843925,0.09266428,0.01250557,0.0001076246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342859,0.006674592,0.01188287,0.004894754,0.0001088628,0.00002754505,0.001026007,0.0002019287,0.04089754],"genre_scores_gemma":[0.994235,0.002160952,0.0004001127,0.0000556508,0.00003716198,0.000006193585,0.0002140775,0.00001721231,0.002873588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04535552,"threshold_uncertainty_score":0.09018308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04079392057141369,"score_gpt":0.2205769104520787,"score_spread":0.179782989880665,"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."}}