{"id":"W2124937476","doi":"10.1109/tpwrs.2007.901482","title":"Generalized Estimation of Average Displaced Emissions by Wind Generation","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Power System Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Renewable energy; Wind power; Environmental economics; Electricity generation; Electric power system; Greenhouse gas; Work (physics); Estimation; Engineering; Environmental science; Computer science; Power (physics); Economics; Systems engineering; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004118285,0.0002382362,0.0002963858,0.0002962795,0.0001219647,0.00004450834,0.0001230246,0.0002074378,0.00006129167],"category_scores_gemma":[0.000006647796,0.0002452455,0.00009496639,0.0005021745,0.00001910501,0.0002435373,4.683025e-7,0.0001762379,0.00002722134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002317423,"about_ca_system_score_gemma":0.00002625869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005146203,"about_ca_topic_score_gemma":0.000007823346,"domain_scores_codex":[0.9983305,0.00007391432,0.0006981977,0.0002327861,0.0003658137,0.0002987742],"domain_scores_gemma":[0.999231,0.00008026979,0.000119475,0.0003497202,0.00008795036,0.0001315629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001818681,0.00006126631,0.000003448222,0.00005939617,0.00006608098,0.000001685099,0.0003120285,0.9074599,0.08846518,0.00005970231,0.003123353,0.0003698039],"study_design_scores_gemma":[0.0006603547,0.0000833743,0.00001407786,0.0000869064,0.00003661935,0.00002093252,0.0000342913,0.8346023,0.162917,0.000001761251,0.001276999,0.0002654248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05936427,0.0002682172,0.9352322,0.00001156927,0.002722302,0.0005143695,0.00006130916,0.0003062867,0.00151951],"genre_scores_gemma":[0.9977625,0.00002523,0.0007449999,0.00001054238,0.00002203039,0.00002972325,0.00003689826,0.00006224652,0.001305846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9383982,"threshold_uncertainty_score":1,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008066432887448313,"score_gpt":0.2210213113300607,"score_spread":0.2129548784426123,"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."}}