{"id":"W1493792108","doi":"10.1023/a:1023370211456","title":"Uncertainty and Investment in Electricity Generation with an Application to the Case of Hydro-Québec","year":2003,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Electric Power System Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Energy; University of Alberta","funders":"","keywords":"Competition (biology); Restructuring; Theory of computation; Computer science; Operations research; Linear programming; Investment (military); Duration (music); Process (computing); Mathematical optimization; Face (sociological concept); Simple (philosophy); Economics; Mathematics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002021001,0.0008214026,0.001299532,0.00128073,0.001943138,0.003505191,0.001891456,0.003415193,0.004329115],"category_scores_gemma":[0.008980054,0.0006579715,0.001060837,0.002966395,0.001913871,0.001758931,0.00129246,0.002544639,0.0001251283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01553296,"about_ca_system_score_gemma":0.00496051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7967781,"about_ca_topic_score_gemma":0.7806498,"domain_scores_codex":[0.9994438,0.0002490163,0.00001713078,0.00005520273,0.00006995296,0.0001648398],"domain_scores_gemma":[0.9931709,0.00573018,0.0002578035,0.0001015886,0.0004876718,0.0002519826],"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":[0.0001746446,0.000113067,0.008326829,0.00007103978,0.00008871399,0.001110172,0.0001599649,0.9281149,0.0001748368,0.0541748,0.002814221,0.004676714],"study_design_scores_gemma":[0.00005778024,0.00004804479,0.005653637,0.00003181065,0.00006218602,0.00008120362,0.0005458259,0.9739605,0.0001014444,0.01772789,0.001658243,0.00007154401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391801,0.005115821,0.01240641,0.007413967,0.000120499,0.00008548281,0.00134084,0.0001052367,0.03423164],"genre_scores_gemma":[0.9928872,0.001056728,0.001404352,0.00007624819,0.00003050808,0.00001706596,0.0001406488,0.00001562349,0.004371691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2032219,"threshold_uncertainty_score":0.4088373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06937511628807928,"score_gpt":0.3567712330964146,"score_spread":0.2873961168083353,"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."}}