{"id":"W1529812711","doi":"","title":"Combining Decomposition and Hybrid Algorithms for the Satellite Range Scheduling Problems","year":2012,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Column generation; Scheduling (production processes); Computer science; Benders' decomposition; Benchmark (surveying); Algorithm; Mathematical optimization; Job shop scheduling; Parallel computing; Mathematics; Schedule","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169975,0.001527966,0.0009307182,0.001224355,0.000449066,0.001086561,0.001066634,0.000905205,0.002045],"category_scores_gemma":[0.003144511,0.0007883842,0.001079888,0.001761006,0.0006890193,0.001719817,0.001608739,0.001777824,0.0005751649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113133,"about_ca_system_score_gemma":0.001025176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00271386,"about_ca_topic_score_gemma":0.003367105,"domain_scores_codex":[0.9988089,0.0004951948,0.00005399928,0.0001621526,0.0003160527,0.0001636862],"domain_scores_gemma":[0.9987431,0.000870634,0.00006784878,0.0001179997,0.0001490251,0.00005130567],"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":[0.0001542822,0.0001590681,0.0006127357,0.0001780274,0.00007698416,0.0000434611,0.0001013153,0.7599635,0.004223591,0.03967991,0.003100198,0.191707],"study_design_scores_gemma":[0.00003218606,0.00003676664,0.00007962844,0.00001263804,0.00001168463,0.00001464752,0.00001752732,0.9806376,0.0007976218,0.01678416,0.001570466,0.000005028446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.012589,0.0003866364,0.9819419,0.0001575959,0.00004376005,0.00007177958,0.00004099835,0.0003896617,0.004378752],"genre_scores_gemma":[0.1464716,0.0004583791,0.8501542,0.0001686138,0.00006887568,0.0002357392,0.0002956674,0.0001620692,0.001984876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00271386,"threshold_uncertainty_score":0.008989215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775960187427174,"score_gpt":0.265201344057431,"score_spread":0.2374417421831593,"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."}}