{"id":"W2763019392","doi":"10.1109/infocom.2017.8057085","title":"Efficient minimization of sum and differential costs on machines with job placement constraints","year":2017,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Minification; Computer science; Algorithm; Mathematics; Discrete mathematics; Mathematical optimization; Combinatorics","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":[0.001505539,0.001353239,0.001510767,0.0008146829,0.0007051945,0.001411165,0.002262328,0.001114425,0.004155593],"category_scores_gemma":[0.003874607,0.0007960658,0.0006595335,0.001840127,0.0009777029,0.002034749,0.001418063,0.0009649824,0.0004214574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002082981,"about_ca_system_score_gemma":0.001802924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004664638,"about_ca_topic_score_gemma":0.005295941,"domain_scores_codex":[0.9987115,0.0004133926,0.00004565461,0.0002300876,0.0003059103,0.0002936226],"domain_scores_gemma":[0.9982712,0.001068958,0.0001486397,0.0001601563,0.0001843831,0.0001667021],"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":[0.0002471183,0.00008598309,0.0005287855,0.000215312,0.00003307589,0.0001107611,0.00006388289,0.9182134,0.004139758,0.01830408,0.001874605,0.05618317],"study_design_scores_gemma":[0.00002557475,0.00005816289,0.0002751769,0.000007463261,0.00001041525,0.00003626806,0.00002707437,0.9798759,0.001805196,0.01708352,0.0007875077,0.000007682727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1437052,0.0005603534,0.8468007,0.0005166598,0.00007218892,0.00018988,0.0002235657,0.0005472157,0.007384169],"genre_scores_gemma":[0.6552642,0.0004258701,0.3365022,0.0001570732,0.0000681333,0.000218096,0.0003485706,0.0002924585,0.006723478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004664638,"threshold_uncertainty_score":0.01511312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672313873068668,"score_gpt":0.26577698374377,"score_spread":0.2490538450130833,"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."}}