{"id":"W2002248615","doi":"10.1016/j.dam.2007.06.012","title":"Pareto optima for total weighted completion time and maximum lateness on a single machine","year":2007,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University; McMaster University","funders":"","keywords":"Mathematics; Pareto principle; Mathematical optimization; Pareto optimal; Single-machine scheduling; Multi-objective optimization; Combinatorics; Computer science; Job shop scheduling; Routing (electronic design automation)","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":[0.01066475,0.003143943,0.003233977,0.005011608,0.001541747,0.003876085,0.002997736,0.002720648,0.005656684],"category_scores_gemma":[0.03132481,0.002027174,0.002928475,0.003421145,0.00349717,0.003757534,0.00252191,0.004111175,0.0007144671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005425368,"about_ca_system_score_gemma":0.00415619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00582087,"about_ca_topic_score_gemma":0.005134006,"domain_scores_codex":[0.997595,0.0008906819,0.00009206687,0.0003033695,0.0005918439,0.0005270556],"domain_scores_gemma":[0.9788845,0.0158679,0.001877928,0.0006427877,0.001695779,0.001031162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000294076,0.0001196465,0.0004758838,0.0001769282,0.00009792016,0.00007000782,0.00019796,0.8929289,0.001592541,0.09339472,0.001367966,0.009283506],"study_design_scores_gemma":[0.00005571869,0.00009064025,0.000454047,0.00004713314,0.00003981754,0.00002588043,0.00007638813,0.8982219,0.0008216811,0.09978724,0.0003433923,0.00003616919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.163873,0.001039948,0.8216166,0.001030983,0.000117738,0.0002166679,0.0004624117,0.0003463378,0.01129631],"genre_scores_gemma":[0.7470875,0.001508152,0.2343152,0.0003153056,0.0002295304,0.0007788994,0.0005119955,0.0006103126,0.01464317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01066475,"threshold_uncertainty_score":0.05640125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121622475731921,"score_gpt":0.2225712611842948,"score_spread":0.2104090136111028,"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."}}