{"id":"W3112833629","doi":"10.1088/1748-9326/abbe46","title":"Balancing climate and development goals","year":2020,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canada Research Chairs; Carnegie Institution of Washington","keywords":"Gross domestic product; Per capita; Climate change; Developing country; Population; Fossil fuel; Business; Economics; Per capita income; Emerging markets; Natural resource economics; Development economics; Economic growth; Macroeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004466209,0.001074083,0.0006798196,0.001179299,0.001621239,0.005784391,0.001085025,0.004308657,0.008641334],"category_scores_gemma":[0.004980553,0.0002560894,0.0005400427,0.001127098,0.001831759,0.00430465,0.00615008,0.003005645,0.001991206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004360214,"about_ca_system_score_gemma":0.006299646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003893546,"about_ca_topic_score_gemma":0.003852458,"domain_scores_codex":[0.9976807,0.0008387858,0.00008158703,0.0002773545,0.0005619075,0.000559581],"domain_scores_gemma":[0.9980214,0.0003773198,0.000180709,0.0001587904,0.0007648216,0.0004968845],"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":[0.00004855043,0.00008115647,0.001392641,0.0002836402,0.00003845522,0.0001706622,0.0005311957,0.01157032,0.000929662,0.913442,0.03372385,0.03778792],"study_design_scores_gemma":[0.00002436005,0.00009518828,0.002560731,0.0004147096,0.00002798175,0.0001599148,0.001604459,0.006578925,0.0005869491,0.5547505,0.4331561,0.00004018156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03260786,0.01514088,0.04272006,0.2063449,0.003141846,0.0002055002,0.001043505,0.0003669914,0.6984284],"genre_scores_gemma":[0.8686474,0.01668483,0.0252436,0.03372929,0.001748476,0.0007643749,0.0008339232,0.0002099004,0.05213828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008641334,"threshold_uncertainty_score":0.0316357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975396517115077,"score_gpt":0.2862232476503557,"score_spread":0.256469282479205,"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."}}