{"id":"W1481995509","doi":"10.1007/3-540-45446-2_7","title":"Job Shop Scheduling Problems with Controllable Processing Times","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Job shop scheduling; Scheduling (production processes); Flow shop scheduling; Job scheduler; Mathematical optimization; Distributed computing; Rate-monotonic scheduling; Fair-share scheduling; Mathematics; Operating system; Schedule","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003101257,0.0004288938,0.0004239356,0.0004415778,0.0001778061,0.0004086794,0.0005517961,0.0002468196,0.00006328317],"category_scores_gemma":[0.00002656402,0.0003615148,0.00004671907,0.0004875541,0.0002818867,0.0002795052,0.00007985678,0.0006352809,0.0000251928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672161,"about_ca_system_score_gemma":0.0002271605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000420116,"about_ca_topic_score_gemma":0.00002397465,"domain_scores_codex":[0.9980055,0.000006665729,0.0003301088,0.0006283494,0.0005234558,0.0005059303],"domain_scores_gemma":[0.9991094,0.00009550121,0.00009293987,0.0003661996,0.0002145393,0.0001213938],"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":[0.000003400669,0.000004025277,0.00003845624,0.00006081043,0.00000994199,0.0000175247,0.0001759331,0.8740523,0.00002266355,0.0001031045,0.000002298745,0.1255096],"study_design_scores_gemma":[0.0003643753,0.00005116314,0.000004175684,0.0008432915,0.00001420042,0.00005180733,4.766457e-7,0.9949994,0.0002489975,0.002550424,0.0003826818,0.0004889795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009303943,0.001955146,0.9794016,0.0001110404,0.0004559895,0.0002825889,0.000001939419,0.0004268362,0.01727179],"genre_scores_gemma":[0.06607465,0.000119743,0.9316604,0.0002753052,0.0006157387,0.00001558789,0.000009475626,0.0001246249,0.001104432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1250206,"threshold_uncertainty_score":0.9998837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034305445046094,"score_gpt":0.2101122530389184,"score_spread":0.1997691985884575,"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."}}