{"id":"W2116009168","doi":"10.5267/j.ijiec.2010.03.005","title":"A new mathematical model for the job shop scheduling problem with uncertain processing times","year":2010,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Job shop scheduling; Mathematical optimization; Scheduling (production processes); Flow shop scheduling; Computer science; Job shop; Operations research; Industrial engineering; Engineering; Mathematics; Schedule","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002616282,0.0001400844,0.0001551931,0.0001876975,0.00006847303,0.0002040928,0.0003509313,0.0000937524,0.00002214614],"category_scores_gemma":[0.000219264,0.0001013317,0.00008009926,0.0001755911,0.00001974182,0.000221442,0.00001571551,0.0005327875,0.000001856973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005100757,"about_ca_system_score_gemma":0.0002589809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001621942,"about_ca_topic_score_gemma":0.000001624585,"domain_scores_codex":[0.9990114,0.000004508669,0.0004193491,0.00008142105,0.0003358875,0.0001474453],"domain_scores_gemma":[0.9989296,0.0003123317,0.0001174821,0.00007145203,0.0004672628,0.0001018335],"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":[0.00001934761,0.00001193053,0.00001240456,0.00000803895,0.0001398411,0.000002516084,0.0002918237,0.9795937,0.000169916,0.002351846,0.0002254279,0.01717323],"study_design_scores_gemma":[0.000984891,0.00002524613,0.000005592177,0.0001549539,0.0000483372,0.0001215334,0.00006418087,0.9974374,0.0001624387,0.0006980499,0.0001764508,0.0001209777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004048477,0.00005436671,0.9937001,0.001021825,0.0007917653,0.0001616931,0.000006488803,0.00009835763,0.0001169471],"genre_scores_gemma":[0.2988939,0.000003575075,0.6998813,0.00001695206,0.001085793,0.00001035992,0.000004543073,0.0000341465,0.00006941085],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2948454,"threshold_uncertainty_score":0.4132187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836308810103123,"score_gpt":0.2694997497418405,"score_spread":0.2411366616408093,"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."}}