{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002724071,0.0009931144,0.0009968323,0.0006253571,0.000939857,0.00159437,0.001520519,0.001006363,0.003401783],"category_scores_gemma":[0.007468454,0.0005545933,0.0008277048,0.001117992,0.001313454,0.002964525,0.001258773,0.00153607,0.0003732417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007820887,"about_ca_system_score_gemma":0.001512586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329476,"about_ca_topic_score_gemma":0.001298758,"domain_scores_codex":[0.9982809,0.0007359685,0.0001206665,0.0002338193,0.0004228218,0.0002058895],"domain_scores_gemma":[0.9959925,0.00297265,0.0003121723,0.0003169522,0.000268615,0.0001372379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003580278,0.0001497599,0.001001025,0.0004987132,0.0000653609,0.0005292227,0.0002541406,0.2844581,0.003354228,0.6432194,0.006150635,0.05996132],"study_design_scores_gemma":[0.00007146391,0.0001869894,0.0005033461,0.00005533442,0.00004074637,0.0003125818,0.0000888707,0.502394,0.00210206,0.480415,0.01378949,0.00004018979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02362282,0.0008097451,0.9633389,0.0006128369,0.0001870548,0.0001131299,0.0001883142,0.0001264038,0.01100076],"genre_scores_gemma":[0.6197643,0.001917456,0.3681978,0.0002976795,0.0005880077,0.0002996728,0.0005117911,0.0001153927,0.008307896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003401783,"threshold_uncertainty_score":0.01440638,"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."}}