{"id":"W1678860438","doi":"10.1109/pesgm.2015.7285629","title":"Acceleration of umbrella constraint discovery in generation scheduling problems","year":2015,"lang":"en","type":"article","venue":"","topic":"Power Systems and Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scheduling (production processes); Constraint (computer-aided design); Mathematical optimization; Computer science; Set (abstract data type); Speedup; Mathematics; Parallel computing","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":[0.002160211,0.00134511,0.001514901,0.0008585009,0.0008271131,0.00130663,0.001393753,0.0009340491,0.005496388],"category_scores_gemma":[0.006512622,0.0007528196,0.001160503,0.001779698,0.0007222425,0.001395846,0.002107919,0.002021069,0.0008738126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123506,"about_ca_system_score_gemma":0.001940414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007362925,"about_ca_topic_score_gemma":0.007106464,"domain_scores_codex":[0.9986067,0.0006087268,0.00005678635,0.000166352,0.0003515739,0.0002098879],"domain_scores_gemma":[0.9958907,0.002933806,0.0003257101,0.0003411652,0.0003058532,0.0002027235],"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":[0.0002191605,0.0001506122,0.001025868,0.0002079832,0.00004463706,0.0001303468,0.00008303067,0.8576053,0.001966727,0.01249523,0.004416123,0.121655],"study_design_scores_gemma":[0.00001564501,0.00003340824,0.0001178056,0.00001106043,0.000005092115,0.00001867346,0.00001200279,0.9953696,0.0004036988,0.002945445,0.001063637,0.000003848429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0611809,0.001049496,0.9203299,0.000813471,0.0001419279,0.0003305056,0.0003612358,0.001210287,0.0145822],"genre_scores_gemma":[0.3480864,0.0007360689,0.6430902,0.0003434113,0.0001197092,0.0004451875,0.001122015,0.0002068734,0.005850072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007362925,"threshold_uncertainty_score":0.01838726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06797260209124974,"score_gpt":0.2424527729102251,"score_spread":0.1744801708189754,"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."}}