{"id":"W2096117622","doi":"10.1002/wene.33","title":"Review of IPCC working group III findings on the impact of energy policy options on GHG emissions","year":2012,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Energy and Environment","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inro Consultants (Canada)","funders":"","keywords":"Greenhouse gas; Hydropower; Climate change; Climate change mitigation; Natural resource economics; Environmental science; Renewable energy; Market penetration; Wind power; Bioenergy; Carbon capture and storage (timeline); Environmental resource management; Business; Engineering; Economics; Ecology","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":[0.0004697889,0.0003412413,0.0005758107,0.0001564955,0.0001368399,0.000007903634,0.0002136243,0.0001162801,0.0002926155],"category_scores_gemma":[0.00002490634,0.0002075039,0.0003145013,0.0002530875,0.00009020206,0.000108853,0.000171583,0.0001522736,0.00000978279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603882,"about_ca_system_score_gemma":0.000009161843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006495878,"about_ca_topic_score_gemma":0.000003478958,"domain_scores_codex":[0.9983767,0.0001928261,0.0007487733,0.0002016387,0.0001642382,0.0003158262],"domain_scores_gemma":[0.999024,0.0001022758,0.0002064376,0.000521375,0.000009292826,0.0001365591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001936734,0.001503093,0.0005345034,0.004608999,0.001214193,0.000004573485,0.003272852,0.5084946,0.01381434,0.1902934,0.1070327,0.1690331],"study_design_scores_gemma":[0.00126764,0.00222185,0.002451195,0.1924245,0.0005568342,0.0001401993,0.0004587793,0.02866194,0.008577892,0.001327563,0.7595637,0.002347864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03895765,0.850764,0.02174314,0.001616134,0.001143793,0.001315397,0.0001030536,0.0002282126,0.08412861],"genre_scores_gemma":[0.622448,0.376663,0.0001353985,0.0001383766,0.0001436291,0.0001414315,0.00005745815,0.00003653593,0.0002361663],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6525311,"threshold_uncertainty_score":0.8461765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914970066388409,"score_gpt":0.265348515122762,"score_spread":0.2461988144588779,"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."}}