{"id":"W1972778917","doi":"10.1007/s00453-003-1053-2","title":"Minimizing Mean Completion Time in a Batch Processing System","year":2003,"lang":"en","type":"article","venue":"Algorithmica","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Batch processing; Uniprocessor system; Theory of computation; Scheduling (production processes); Time complexity; Computer science; Job scheduler; Job shop scheduling; Polynomial-time approximation scheme; Mathematical optimization; Algorithm; Parallel computing; Mathematics; Schedule; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002477673,0.0001558927,0.000209127,0.0001508052,0.00006585506,0.00005819963,0.00009762477,0.00009070992,0.00004845905],"category_scores_gemma":[0.00002328479,0.00017022,0.00003641192,0.0004146869,0.00001807873,0.0001203517,0.00000862964,0.0001566373,0.0001611412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460644,"about_ca_system_score_gemma":0.00002373975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007735492,"about_ca_topic_score_gemma":0.000002515193,"domain_scores_codex":[0.9990244,0.00004818223,0.0002842927,0.0001966224,0.0001640868,0.0002824058],"domain_scores_gemma":[0.9996642,0.00003545319,0.00003244106,0.0001473275,0.00004795945,0.00007254314],"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":[0.0000298804,0.000243949,0.0008085984,0.001119901,0.0001377423,0.0001636724,0.006465877,0.8474263,0.005121516,0.002892835,0.001415524,0.1341742],"study_design_scores_gemma":[0.0004318522,0.00001121167,0.00008129898,0.0001329136,0.000008871727,0.00003517783,0.0004047832,0.9962824,0.001670715,0.0000220804,0.0006991603,0.0002195164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1236411,0.001915662,0.8101528,0.0001507636,0.001462809,0.0008042633,0.00001970772,0.003507911,0.058345],"genre_scores_gemma":[0.7538572,0.000007150745,0.2457643,0.00002877637,0.00009320046,0.00002682191,0.00001961645,0.00005791007,0.0001449805],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6302161,"threshold_uncertainty_score":0.6941369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008291348902379302,"score_gpt":0.1992217393699629,"score_spread":0.1909303904675836,"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."}}