{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004572793,0.0001613751,0.0002939546,0.0005862447,0.001808046,0.001455863,0.0004091521,0.0002662701,0.004232825],"category_scores_gemma":[0.002608893,0.00008600049,0.0004063402,0.001325623,0.0007866106,0.0003812042,0.0008602672,0.0006755482,0.00009693379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02663192,"about_ca_system_score_gemma":0.04525884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924217,"about_ca_topic_score_gemma":0.9959583,"domain_scores_codex":[0.9994261,0.0000578045,0.00001076048,0.00003732033,0.0001071875,0.0003608042],"domain_scores_gemma":[0.9981021,0.0002158795,0.0002853604,0.00005989534,0.0007534144,0.0005833434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003137582,0.0001135035,0.9345011,0.0001172024,0.00026276,0.0002278631,0.0009677141,0.00834372,0.0007961334,0.01695545,0.0112014,0.02619938],"study_design_scores_gemma":[0.00002680023,0.00002883013,0.9824204,0.00006606712,0.0001089571,0.00002734234,0.002857643,0.003505798,0.0003954735,0.002080777,0.008462816,0.00001899582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961854,0.0008280158,0.0003761026,0.008029301,0.00003448559,0.00002494172,0.003224011,0.00002421076,0.02560486],"genre_scores_gemma":[0.9981005,0.000205385,0.0001402045,0.0001546535,0.000005003482,0.000002687553,0.0002757302,0.000002334546,0.001113508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02663192,"threshold_uncertainty_score":0.193229,"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."}}