{"id":"W7124167003","doi":"10.1109/codit66093.2025.11321812","title":"Permutation in shop scheduling problems with FIFO considerations","year":2025,"lang":"","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Cégep de Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flow shop scheduling; Scheduling (production processes); Permutation (music); Job shop scheduling; Task (project management); FIFO (computing and electronics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002605708,0.0002896568,0.0002954983,0.0005386272,0.0001910455,0.0002950078,0.00008492452,0.0001991446,0.0007538506],"category_scores_gemma":[0.0001872277,0.0002895502,0.00004760677,0.001129055,0.00006226955,0.0003188529,0.00002675281,0.0004115256,0.00005394455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174926,"about_ca_system_score_gemma":0.0003103724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006513931,"about_ca_topic_score_gemma":0.0003778031,"domain_scores_codex":[0.9983879,0.00005465425,0.0006011259,0.0003958633,0.0001900683,0.0003703993],"domain_scores_gemma":[0.9991564,0.000232445,0.00005249191,0.0002635165,0.0002137736,0.00008138162],"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":[0.000008125115,0.00006856044,0.002024615,0.0001518166,0.00007005297,0.000008578339,0.001151161,0.9777922,0.00009030825,0.01727795,0.00004826326,0.001308375],"study_design_scores_gemma":[0.001370292,0.00003590501,0.0005615195,0.0005922134,0.00005136291,0.000008678546,0.00159604,0.9933037,0.0008765113,0.001206151,0.00006681033,0.0003308364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03275393,0.00142404,0.9229811,0.002695503,0.0006695401,0.000767894,0.000006640972,0.0004028224,0.03829856],"genre_scores_gemma":[0.7226639,0.0001173189,0.2752393,0.0002164993,0.00004165245,0.00006401807,0.00002163807,0.00003062944,0.001604958],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.68991,"threshold_uncertainty_score":0.9999557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289625006333711,"score_gpt":0.2402186307462368,"score_spread":0.2273223806828996,"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."}}