{"id":"W4386029709","doi":"10.3390/en16166074","title":"Quantifying Global Greenhouse Gas Emissions in Human Deaths to Guide Energy Policy","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Greenhouse gas; Global warming; Natural resource economics; Climate change; Fossil fuel; Tonne; Work (physics); Environmental science; Order (exchange); Metric (unit); Climate change mitigation; Scale (ratio); Economics; Geography; Engineering; Ecology; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001745277,0.0001306588,0.0001454908,0.0001258694,0.0002137357,0.00003279625,0.0002243052,0.00006196966,0.0004315692],"category_scores_gemma":[0.0001163846,0.0001217713,0.00003573968,0.001110358,0.0000418723,0.0001182842,0.0003825214,0.00005224862,0.0004479824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004302784,"about_ca_system_score_gemma":0.00002671205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04075731,"about_ca_topic_score_gemma":0.03757095,"domain_scores_codex":[0.9986454,0.00003516936,0.0002314657,0.0002645642,0.0002256033,0.0005978151],"domain_scores_gemma":[0.999383,0.00003879718,0.00003590974,0.0002540426,0.000003448343,0.0002848047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003812693,0.000185378,0.3483579,0.00004946258,0.000009253855,0.0002873739,0.006530153,0.04879528,0.0624673,0.02695208,0.4508707,0.05545705],"study_design_scores_gemma":[0.0007222422,0.000235996,0.639553,0.0002148065,0.000008613916,0.00001865999,0.001955636,0.0009524988,0.006749483,0.007035037,0.3418733,0.0006807839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772252,0.00003714491,0.000008980214,0.003363836,0.00008436089,0.00005849785,0.00001711925,0.0001839993,0.01902089],"genre_scores_gemma":[0.9949482,0.0003098832,0.0001981819,0.001760476,0.0001587483,0.00002799677,0.00001892575,0.00001879576,0.002558774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2911951,"threshold_uncertainty_score":0.9799909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09487399790124601,"score_gpt":0.3928601975943671,"score_spread":0.2979861996931211,"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."}}