{"id":"W2897063562","doi":"10.2139/ssrn.4218422","title":"An Efficient Data Driven Model for Generation Expansion Planning with Short Term Operational Constraints","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Term (time); Computer science; Operations research; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009776434,0.0001459475,0.0001347821,0.0001334391,0.0005003097,0.0000861567,0.0003789271,0.00003734122,0.00001277786],"category_scores_gemma":[0.000008676736,0.0001419955,0.00002460441,0.0001392265,0.00001576232,0.0003121264,0.00003454927,0.0006734569,5.715606e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036457,"about_ca_system_score_gemma":0.001202213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001414794,"about_ca_topic_score_gemma":0.00003608371,"domain_scores_codex":[0.9981782,0.00005559176,0.0002674597,0.0002495564,0.000353133,0.0008959903],"domain_scores_gemma":[0.9995222,0.00001634637,0.00005018526,0.0002748177,0.0000714849,0.00006494941],"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":[0.00002524064,0.00003835565,0.0001832278,0.000004106296,0.0000664939,0.000001779396,0.0002760159,0.9885203,0.006911641,0.001932952,0.0001501913,0.001889735],"study_design_scores_gemma":[0.000496718,0.0002913599,0.00001900429,0.000008618719,0.00003044214,0.0004997197,0.000292355,0.9978684,0.0001631686,0.0001240725,0.00002436427,0.0001817977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1844554,0.0003385039,0.8145726,0.00002923751,0.0001497097,0.000287788,0.00004246745,0.00007501734,0.0000493122],"genre_scores_gemma":[0.9925907,0.00004230392,0.006208204,0.00002214378,0.0002050127,0.00006016599,0.0007783363,0.00004819247,0.00004498056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8083644,"threshold_uncertainty_score":0.579041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427715902246083,"score_gpt":0.2581853617901574,"score_spread":0.2339082027676966,"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."}}