{"id":"W4408378905","doi":"10.5267/j.ijiec.2025.1.007","title":"Flexible job-shop scheduling problem with the number of workers dependent processing times","year":2025,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Job shop scheduling; Flow shop scheduling; Scheduling (production processes); Job shop; Mathematical optimization; Computer science; Operations research; Operations management; Industrial engineering; Mathematics; Engineering; 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":[0.0002459199,0.0001270362,0.0001739498,0.0002740897,0.00005019106,0.0001106295,0.0003402006,0.00007526691,0.00002189799],"category_scores_gemma":[0.0000815081,0.00009753366,0.00006837926,0.000443497,0.00002971356,0.0001910321,0.00002677342,0.000389132,0.000002083609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026956,"about_ca_system_score_gemma":0.0001981329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005160117,"about_ca_topic_score_gemma":7.152673e-7,"domain_scores_codex":[0.9989581,0.00001536193,0.0004640849,0.0000763085,0.0003642164,0.0001220033],"domain_scores_gemma":[0.9989814,0.0001666884,0.0001622438,0.00006889966,0.0005773966,0.00004338841],"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":[0.00002473867,0.00001886009,0.001257975,0.00001343704,0.0002928804,0.000004703566,0.000149897,0.9893488,0.00007128571,0.0006025282,0.0002000514,0.008014893],"study_design_scores_gemma":[0.001359029,0.00002222892,0.0002739309,0.0009144702,0.00007721694,0.00008518652,0.0004285616,0.9944497,0.001745507,0.0001266745,0.0003705393,0.0001469558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0574069,0.0002035557,0.9387256,0.001018872,0.001205988,0.0001063189,0.000005019355,0.00009799217,0.001229763],"genre_scores_gemma":[0.8831836,0.00001051462,0.1163223,0.00002029801,0.0003189083,0.00000522303,0.000004229315,0.00002081859,0.0001141011],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8257767,"threshold_uncertainty_score":0.3977307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498482121729295,"score_gpt":0.2650527049214081,"score_spread":0.2500678837041152,"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."}}