{"id":"W2162703984","doi":"10.1109/psce.2009.4840193","title":"A novel approach to disco planning in electricity markets: Mathematical model","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electricity; Electricity market; Variety (cybernetics); Computer science; Capacity planning; Work (physics); Function (biology); Power flow; Service (business); Term (time); Operations research; Electric power system; Power (physics); Environmental economics; Business; Economics; Engineering; Electrical engineering; Marketing","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":[0.0001956775,0.0001334315,0.0001847614,0.0002073279,0.00001632107,0.00003171975,0.0001324704,0.00007142439,0.000005485211],"category_scores_gemma":[0.00004149593,0.0001245431,0.00002432316,0.000593656,0.000002457998,0.0001237663,0.000009596207,0.000128977,0.00001301835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407125,"about_ca_system_score_gemma":0.00001271987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001972995,"about_ca_topic_score_gemma":6.336038e-7,"domain_scores_codex":[0.9991053,0.000009513762,0.0002531022,0.0001665482,0.0001515142,0.0003139743],"domain_scores_gemma":[0.999712,0.00002693998,0.00001233186,0.0001612027,0.00001224243,0.00007525942],"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":[0.000007447802,0.0000901205,0.00002752708,0.00002412459,0.000005049176,8.403899e-7,0.0003231799,0.9906542,0.002307365,0.005068707,0.001008368,0.0004830886],"study_design_scores_gemma":[0.0001966379,0.0000156452,0.0003792099,0.00002765128,0.000003076508,0.00001229408,0.0000145863,0.9981647,0.0004763016,0.0005432253,0.000008105152,0.0001585805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00873052,0.00003578212,0.8111541,0.00003424385,0.00001148112,0.0002335517,7.203118e-7,0.000244049,0.1795556],"genre_scores_gemma":[0.8628059,0.000001478011,0.1366839,0.00008632883,0.00001368687,0.00002276704,0.000003256161,0.00001783527,0.0003649065],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8540754,"threshold_uncertainty_score":0.507872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447909668567518,"score_gpt":0.2257394567678581,"score_spread":0.2112603600821829,"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."}}