{"id":"W4401633486","doi":"10.1007/s43621-024-00418-9","title":"Do green innovation and governance limit CO2 emissions: evidence from twelve polluting countries with panel data decision tree model","year":2024,"lang":"en","type":"article","venue":"Discover Sustainability","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panel data; Corporate governance; Limit (mathematics); Decision tree; Tree (set theory); Business; Econometrics; Environmental economics; Economics; Computer science; Mathematics; Finance; Data mining","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":[0.001236807,0.0002921817,0.0004418482,0.0001342929,0.000178206,0.0004109901,0.0005897398,0.0001373585,0.00009299838],"category_scores_gemma":[0.001302496,0.0002838284,0.0000461694,0.0004148421,0.000254336,0.002606724,0.0006991538,0.0002535112,0.0000295179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009490789,"about_ca_system_score_gemma":0.000238399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002562399,"about_ca_topic_score_gemma":0.0003053855,"domain_scores_codex":[0.9971571,0.0000270603,0.000840628,0.001472384,0.0001134129,0.0003894457],"domain_scores_gemma":[0.9974839,0.0005013968,0.0003687139,0.001504132,0.00005401791,0.00008785481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000218336,0.0001045545,0.6289443,0.0003506128,0.0001271944,0.00002318679,0.001603062,0.007731202,0.00001631148,0.3449108,0.0009805626,0.01498987],"study_design_scores_gemma":[0.0006041994,0.00007205721,0.3438476,0.0003650931,0.00003894584,0.000003913011,0.0008383056,0.2467616,0.00004942331,0.396823,0.009942388,0.0006534111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441574,0.008196109,0.04189059,0.002938127,0.0001324494,0.0003769021,0.001527877,0.00006089146,0.0007196195],"genre_scores_gemma":[0.9960425,0.0009951025,0.001768609,0.0001813138,0.00009540641,0.00003519525,0.0001046128,0.00004411809,0.0007331092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2850967,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318091809654261,"score_gpt":0.263966596389491,"score_spread":0.2107856782929484,"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."}}