{"id":"W4400094474","doi":"10.1007/978-3-031-62582-4_30","title":"Optimization Framework for Assembly Line Design Problem with Ergonomics Consideration in Fuzzy Environment","year":2024,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Fuzzy logic; Assembly line; Line (geometry); Computer science; Engineering; Industrial engineering; Manufacturing engineering; Engineering drawing; Mechanical engineering; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000235323,0.0002748343,0.0003108238,0.0008514717,0.0000636497,0.00007544173,0.0001999711,0.0005883304,0.00000784588],"category_scores_gemma":[0.00004151189,0.0002963523,0.00002120044,0.0001404649,0.00009642336,0.0009495491,0.00005533885,0.0005441785,0.00001418271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049781,"about_ca_system_score_gemma":0.0000424426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001076599,"about_ca_topic_score_gemma":0.00003096947,"domain_scores_codex":[0.9988045,0.00001246887,0.0007468851,0.0001723425,0.0000984907,0.0001653451],"domain_scores_gemma":[0.9990134,0.000184452,0.0002599746,0.0004476869,0.00007092723,0.00002353786],"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":[0.00002492948,0.000004059951,0.000006339535,0.0001251035,0.000009703978,1.845089e-7,0.0001198915,0.6837001,0.00000175929,0.3032801,0.00001135577,0.01271641],"study_design_scores_gemma":[0.0004972595,0.0001080667,0.000001952414,0.0007068343,0.00002309221,0.000007642824,0.0001489032,0.703677,0.0001358239,0.2637547,0.0305759,0.000362795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001504701,0.006079372,0.9743643,0.000387606,0.00006792016,0.001254172,0.00001760021,0.0003713619,0.0174426],"genre_scores_gemma":[0.01262187,0.05450532,0.9307743,0.00006884282,0.0000196463,0.0006848893,0.0006411251,0.00007702401,0.0006069858],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04842595,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00820890406298718,"score_gpt":0.2205523386296813,"score_spread":0.2123434345666941,"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."}}