{"id":"W3122127438","doi":"","title":"The effect of FDI on environmental emissions : Evidence from a meta-analysis","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Deakin University","keywords":"Foreign direct investment; Nexus (standard); Economics; International economics; Natural resource economics; Macroeconomics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01508092,0.002222391,0.008847907,0.007504874,0.0006215717,0.003874084,0.002028734,0.002507707,0.00543649],"category_scores_gemma":[0.04784556,0.001199106,0.0385612,0.008930768,0.00114715,0.002225211,0.001499036,0.002188308,0.0004414772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077993,"about_ca_system_score_gemma":0.00247397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007579214,"about_ca_topic_score_gemma":0.01326557,"domain_scores_codex":[0.9881436,0.004907749,0.003515949,0.00181164,0.001237608,0.0003834614],"domain_scores_gemma":[0.9270412,0.06071742,0.007097037,0.001991925,0.002729728,0.0004225737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002226821,0.00005585327,0.02817485,0.2183699,0.7238892,0.000260191,0.0001569988,0.0009524625,0.000279795,0.0003760739,0.001158742,0.02409912],"study_design_scores_gemma":[0.0003244621,0.0001581225,0.01614072,0.02446702,0.9552715,0.0001513112,0.00008431961,0.0002167111,0.0002193652,0.0004680924,0.002470458,0.00002784222],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0136647,0.9831992,0.0007019367,0.0004241609,0.0001554697,0.00007169062,0.001112765,0.00002067943,0.0006494379],"genre_scores_gemma":[0.3699805,0.6238485,0.002039564,0.001310784,0.0003170324,0.0002943931,0.001739661,0.00006025207,0.000409258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01508092,"threshold_uncertainty_score":0.07975644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06704327641419101,"score_gpt":0.2948009756544935,"score_spread":0.2277576992403025,"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."}}