{"id":"W2096691748","doi":"10.1155/2013/972358","title":"Scheduling with Learning Effects and/or Time-Dependent Processing Times to Minimize the Weighted Number of Tardy Jobs on a Single Machine","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Single-machine scheduling; Scheduling (production processes); Learning effect; Computer science; Due date; Mathematical optimization; Response time; Job shop scheduling; Mathematics; Schedule","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002550124,0.0002457375,0.000345473,0.0001261112,0.00004629373,0.0000835813,0.0001343547,0.00008072406,0.0001089296],"category_scores_gemma":[0.0002233986,0.0001567989,0.00002786802,0.0003477159,0.00002623486,0.0001143229,0.000044057,0.0003421512,0.00007316188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004605821,"about_ca_system_score_gemma":0.000008787834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004955075,"about_ca_topic_score_gemma":4.460857e-7,"domain_scores_codex":[0.9988606,0.00002413669,0.0003641828,0.0001993682,0.0002432759,0.0003084385],"domain_scores_gemma":[0.9992572,0.0003947096,0.00004387755,0.0001588888,0.00004396335,0.000101335],"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":[0.000007925954,0.00005578996,0.0002155589,0.001013759,0.0000278988,0.000003013864,0.0008147965,0.9933339,0.001971111,0.00009240535,0.000003197328,0.002460642],"study_design_scores_gemma":[0.0004549041,0.00007433349,0.00008032459,0.001444613,0.00001685911,0.0000242629,0.00006848692,0.9948075,0.002611621,0.0001824731,0.000008376726,0.0002262756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1298386,0.0001902271,0.8676301,0.0001072435,0.00004639241,0.0006995503,6.852794e-7,0.0004000475,0.001087162],"genre_scores_gemma":[0.7291167,0.00000493876,0.2704735,0.00001549464,0.00002524183,0.0001361905,0.000001210044,0.00007285833,0.0001537573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5992782,"threshold_uncertainty_score":0.6394072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005597428197517109,"score_gpt":0.1991228787430976,"score_spread":0.1935254505455805,"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."}}