{"id":"W4392915574","doi":"10.3390/su16062498","title":"The Determinants of Greenhouse Gas Emissions: Empirical Evidence from Canadian Provinces","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Greenhouse gas; Per capita; Agricultural economics; Environmental science; Per capita income; Panel data; Ordinary least squares; Electricity; Economics; Natural resource economics; Econometrics; Engineering; Population; Ecology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270623,0.0001707056,0.0003281169,0.0001353541,0.0002092097,0.0001382114,0.0005187087,0.00012426,0.0002520281],"category_scores_gemma":[0.00220818,0.0001477739,0.0001444518,0.0002024412,0.0003383599,0.0003343205,0.0001361331,0.0001972786,0.00009865851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095103,"about_ca_system_score_gemma":0.0007257793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1174724,"about_ca_topic_score_gemma":0.08453984,"domain_scores_codex":[0.9980111,0.00005841229,0.0007610715,0.0006596129,0.00004714028,0.0004626277],"domain_scores_gemma":[0.9980984,0.0006226928,0.0001829268,0.0008323888,0.00003875803,0.0002248511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001351038,0.00003269239,0.9754435,0.0001012678,0.00002649886,0.00001873348,0.0007025732,0.00005153714,0.000001954345,0.01123109,0.0008802837,0.01149633],"study_design_scores_gemma":[0.0001377327,0.000110431,0.4993802,0.00009662189,0.0000141425,0.000002755527,0.0007808619,0.006285477,0.0002024645,0.3886984,0.1039344,0.0003563924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839155,0.01023516,0.00006549098,0.003809011,0.0003260994,0.0003472647,0.0001468774,0.00003819665,0.001116408],"genre_scores_gemma":[0.9982222,0.0006270122,0.0001029348,0.00005296406,0.00007652877,0.0000607668,0.000002858392,0.00002561083,0.0008291236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4760633,"threshold_uncertainty_score":0.9321649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422166956187148,"score_gpt":0.2680513023729516,"score_spread":0.2338296328110801,"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."}}