{"id":"W6959358419","doi":"10.1021/acs.est.9b04923.s002","title":"Human Health and\\nEcosystem Impacts of Deep Decarbonization\\nof the Energy System","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Agricultural Practices and Plant Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human health; Global warming; Life-cycle assessment; Electrification; Energy consumption; Climate change; Greenhouse gas; Energy (signal processing); Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001026003,0.001226919,0.0009839864,0.002326629,0.0005588524,0.001290356,0.00245237,0.001790895,0.03871858],"category_scores_gemma":[0.005160556,0.000424341,0.001619229,0.004269389,0.0003351599,0.000858701,0.00150946,0.001269877,0.01732425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107177,"about_ca_system_score_gemma":0.002241779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09007538,"about_ca_topic_score_gemma":0.1481709,"domain_scores_codex":[0.9993699,0.0001215072,0.00007591704,0.0001934851,0.0001368337,0.0001023299],"domain_scores_gemma":[0.9982528,0.0007690837,0.0002198672,0.0002829419,0.0003742942,0.0001009634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001081162,0.00004285075,0.01013565,0.003085862,0.0002157613,0.00008640485,0.00006303893,0.005222096,0.0002704431,0.003111162,0.9716392,0.006019397],"study_design_scores_gemma":[0.0003348033,0.00002818078,0.02224559,0.001109482,0.0001440342,0.00009277949,0.0001373778,0.003127154,0.0004688758,0.003739037,0.9685117,0.00006096965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002859658,0.00009496765,0.00008943687,0.00008401296,0.00001558991,0.000004196848,0.9987926,0.00008336672,0.0005497618],"genre_scores_gemma":[0.00164886,0.0001317892,0.0004415548,0.00007957096,0.000006600335,0.00005533122,0.9970124,0.00004010163,0.0005839061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09007538,"threshold_uncertainty_score":0.1791022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726494856458216,"score_gpt":0.2457959925239762,"score_spread":0.208531043959394,"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."}}