{"id":"W4285075802","doi":"10.48550/arxiv.1904.08894","title":"A Julia Module for Polynomial Optimization with Complex Variables\\n applied to Optimal Power Flow","year":2019,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Polynomial; Mathematical optimization; Optimization problem; Mathematics; Representation (politics); Flow (mathematics); Power (physics); Applied mathematics; Computer science; Mathematical analysis","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":[0.001246023,0.001312096,0.0008938939,0.001198652,0.0006493305,0.001499844,0.001212145,0.000661724,0.01011896],"category_scores_gemma":[0.002826341,0.0005275868,0.001565844,0.001676251,0.001579471,0.002165572,0.002685453,0.004042053,0.006836768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006893014,"about_ca_system_score_gemma":0.0007715166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005958254,"about_ca_topic_score_gemma":0.0007955472,"domain_scores_codex":[0.9993761,0.0002396811,0.00004044843,0.0001146778,0.0001870759,0.00004201172],"domain_scores_gemma":[0.9994474,0.0002035488,0.0000510792,0.0001420063,0.0001116006,0.00004428858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003352709,0.00003949945,0.0001493196,0.0001210226,0.00003485625,0.0001010977,0.00009278835,0.01685017,0.002755676,0.902026,0.006929286,0.07086688],"study_design_scores_gemma":[0.00003111579,0.00009566166,0.000208595,0.00008368277,0.00003479483,0.0002432514,0.00002825036,0.2212511,0.005394968,0.6762397,0.0963468,0.00004202841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001859126,0.0005097738,0.9817696,0.0002381763,0.0001894017,0.00004170606,0.0001413633,0.0004163882,0.01483438],"genre_scores_gemma":[0.1395017,0.003120119,0.8180887,0.0008120447,0.001190818,0.0005767905,0.0006364336,0.001481082,0.03459232],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01011896,"threshold_uncertainty_score":0.03385133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715652700703054,"score_gpt":0.1703150063567512,"score_spread":0.1331584793497206,"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."}}