{"id":"W7015266582","doi":"","title":"Smart and sustainable flow-shop scheduling problems: Scenario-based robust optimization and strong heuristics","year":2023,"lang":"en","type":"other","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scheduling (production processes); Flow shop scheduling; Heuristics; Job shop scheduling; Fair-share scheduling; Metaheuristic; Dynamic priority scheduling","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003334093,0.001329833,0.001383322,0.001114456,0.0004508581,0.001913368,0.001494826,0.001622673,0.002168187],"category_scores_gemma":[0.005568483,0.0009009088,0.001561958,0.001294557,0.001417313,0.0022354,0.001933346,0.001958424,0.0003121447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011243,"about_ca_system_score_gemma":0.001562021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003696404,"about_ca_topic_score_gemma":0.002823634,"domain_scores_codex":[0.998282,0.0009924794,0.00005977379,0.0002356154,0.0002657983,0.0001643557],"domain_scores_gemma":[0.9967824,0.002478825,0.000302588,0.0001187217,0.0001838246,0.0001336177],"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":[0.00002616432,0.00002438827,0.0001021476,0.00005749992,0.00004144207,0.00002723429,0.00001821566,0.961282,0.0001477062,0.02840862,0.0007559549,0.009108571],"study_design_scores_gemma":[0.000008863733,0.00002121818,0.00004529427,0.00001459881,0.000007266563,0.000008134874,0.00001302276,0.9774228,0.00007931331,0.0215814,0.0007920503,0.000006050712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009154279,0.001149442,0.9822374,0.0007662241,0.00007672217,0.0001011286,0.0001182231,0.0001757864,0.006220773],"genre_scores_gemma":[0.5931199,0.002865442,0.3976139,0.0005479305,0.0003525729,0.0004457754,0.0004272622,0.00018712,0.004440062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003696404,"threshold_uncertainty_score":0.01763254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792464331880619,"score_gpt":0.2504097319273677,"score_spread":0.2324850886085615,"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."}}