{"id":"W2598668330","doi":"10.3233/978-1-61499-119-9-149","title":"Scheduling a hybrid flowshop with parallel machines for aircraft assembly production","year":2012,"lang":"en","type":"book-chapter","venue":"IOS Press eBooks","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Computer science; Scheduling (production processes); Parallel computing; Engineering; Operations management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001736128,0.0005536838,0.0002924471,0.0003657155,0.0003238521,0.0004334571,0.0006081916,0.0003815446,0.003997439],"category_scores_gemma":[0.000249714,0.0003302387,0.0004208818,0.0006892804,0.0002137648,0.0005296529,0.0003182497,0.0004123505,0.0008231418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003922821,"about_ca_system_score_gemma":0.0004806694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196975,"about_ca_topic_score_gemma":0.002993293,"domain_scores_codex":[0.9999069,0.00001616825,0.00000424954,0.00002406569,0.00003750798,0.00001096501],"domain_scores_gemma":[0.9999472,0.0000283997,0.000004615571,0.000008037201,0.000007739038,0.000003917505],"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":[0.0001468574,0.00007951002,0.0002536555,0.0003301336,0.000046294,0.0001593599,0.0001082893,0.4811769,0.01724184,0.02919815,0.008756869,0.4625023],"study_design_scores_gemma":[0.00004664684,0.0001943904,0.0005639681,0.00003447069,0.00001500838,0.0002708143,0.00003621317,0.9152071,0.006796491,0.02902273,0.04779078,0.00002143913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0558534,0.002483659,0.8989987,0.000220147,0.000194637,0.0001364676,0.0002401576,0.001135357,0.0407375],"genre_scores_gemma":[0.2374696,0.001955052,0.7213893,0.0000733475,0.00009703344,0.0002456674,0.0003741963,0.0002208405,0.03817501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003997439,"threshold_uncertainty_score":0.01337278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506336934792461,"score_gpt":0.2283997300949593,"score_spread":0.2033363607470347,"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."}}