{"id":"W1950561498","doi":"10.1002/aic.14975","title":"Using short‐term resource scheduling for assessing effectiveness of CCS within electricity generation subsector","year":2015,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Greenhouse gas; Electricity; Power system simulation; Scheduling (production processes); Reliability (semiconductor); Electricity generation; Economic dispatch; Solver; Computer science; Integer programming; Reliability engineering; Operations research; Mathematical optimization; Engineering; Electric power system; Operations management; Algorithm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001465738,0.0006312582,0.0005122276,0.0007533926,0.0003151285,0.0006253828,0.0006447302,0.0004388462,0.0009292539],"category_scores_gemma":[0.002257501,0.0002855364,0.0003860434,0.0006195561,0.0003339448,0.0008335241,0.0003750587,0.0003998429,0.00006580155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305603,"about_ca_system_score_gemma":0.001565011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044186,"about_ca_topic_score_gemma":0.01116594,"domain_scores_codex":[0.9995227,0.0002468951,0.00001779134,0.00006567956,0.000111068,0.00003590698],"domain_scores_gemma":[0.9988338,0.000621361,0.0002059356,0.00007941781,0.0001616211,0.00009777728],"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":[0.0001567974,0.00005943135,0.002719841,0.000017733,0.00004519911,0.00002585156,0.0000129731,0.9848115,0.00246576,0.001320456,0.00009492802,0.00826946],"study_design_scores_gemma":[0.0000115031,0.000184446,0.001144411,0.000001773403,0.00001079063,0.000008298493,0.00001183786,0.9961798,0.001693264,0.0005858755,0.0001582942,0.000009659867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577803,0.0001598573,0.2354405,0.0001002969,0.00003785208,0.0002920092,0.0003936791,0.0002567319,0.005538874],"genre_scores_gemma":[0.9776096,0.00003162479,0.02183438,0.000009326586,0.000003400241,0.00005345574,0.0001089124,0.00001271595,0.0003365133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044186,"threshold_uncertainty_score":0.02076221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07889282927359602,"score_gpt":0.3050690317336147,"score_spread":0.2261762024600186,"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."}}