{"id":"W4400425795","doi":"10.1038/s44168-024-00144-y","title":"Economic growth and income inequality increase the carbon intensity of human well-being for Canada’s provinces","year":2024,"lang":"en","type":"article","venue":"npj Climate Action","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economic inequality; Economics; Inequality; Intensity (physics); Demographic economics; Development economics; Income distribution; Mathematics; Physics","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":[0.0006113528,0.0001222143,0.0002985385,0.0001021838,0.0001547755,0.00006739225,0.0001130601,0.00006932291,0.0000151269],"category_scores_gemma":[0.00005562889,0.0001137924,0.0000635116,0.00004750167,0.00006759019,0.000216867,0.00006755819,0.0001236824,0.000006884955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002824581,"about_ca_system_score_gemma":0.00006574536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4827656,"about_ca_topic_score_gemma":0.1765945,"domain_scores_codex":[0.9989396,0.0000150335,0.0005107665,0.0002973753,0.00001681128,0.0002204574],"domain_scores_gemma":[0.9994232,0.0001318691,0.0002109439,0.0001716207,0.0000116521,0.00005071333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001143715,0.00003070949,0.3651114,0.001604288,0.0001385938,0.000001845479,0.0007295759,0.00002141894,0.0003410987,0.6306806,0.000752536,0.000473513],"study_design_scores_gemma":[0.0009111083,0.0002779392,0.4591621,0.0001309982,0.0000755112,0.00001962102,0.0007108558,0.03779978,0.006014252,0.4868939,0.007278046,0.0007258978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709277,0.0001756127,0.00001394349,0.001254318,0.0005540806,0.0002231774,0.0001791729,0.00002852414,0.02664345],"genre_scores_gemma":[0.9994384,0.0000776283,0.00001388795,0.000146774,0.0002199059,0.0000243248,0.0000218118,0.00001705877,0.0000402104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3061712,"threshold_uncertainty_score":0.8384305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760269166908464,"score_gpt":0.249541907209459,"score_spread":0.2219392155403744,"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."}}