{"id":"W4401668912","doi":"10.1080/21681015.2024.2389963","title":"Fuzzy expert system for ergonomic assembly line worker assignment and balancing problem under uncertainty","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial and Production Engineering","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"SAFER; Fuzzy logic; Computer science; Constructive; Heuristic; Task (project management); Industrial engineering; Process (computing); Engineering; Artificial intelligence; Systems engineering","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":[0.001235171,0.0006714326,0.0007582349,0.0005385225,0.0004639262,0.0007908918,0.0007872491,0.001171078,0.002477506],"category_scores_gemma":[0.002683968,0.0003380112,0.0005361387,0.0003661912,0.000323393,0.0004976454,0.0006880914,0.0007790427,0.0001949966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006978339,"about_ca_system_score_gemma":0.001369726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007573954,"about_ca_topic_score_gemma":0.006956752,"domain_scores_codex":[0.9995605,0.00017473,0.00002671596,0.00007926154,0.00009649582,0.00006228717],"domain_scores_gemma":[0.9991054,0.0006203322,0.00007615767,0.00002516587,0.0001480787,0.0000249468],"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":[0.00005857023,0.00002884775,0.0002650731,0.00005879661,0.00001424624,0.00005505524,0.0000476567,0.9788486,0.001059615,0.002784707,0.0002704938,0.01650827],"study_design_scores_gemma":[0.00000955526,0.00002197287,0.000073799,0.000006790915,0.000004419523,0.00000792418,0.00001253512,0.9982054,0.000233877,0.001262039,0.0001589598,0.000002679615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05592226,0.0001482376,0.9389285,0.0001627415,0.00002118719,0.0001218498,0.00008090572,0.0001318384,0.004482449],"genre_scores_gemma":[0.7965263,0.0001533603,0.2003933,0.00008849779,0.00002614074,0.0002809667,0.0001653555,0.00002177118,0.002344416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007573954,"threshold_uncertainty_score":0.01505977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804701979587444,"score_gpt":0.2233666443195113,"score_spread":0.2053196245236368,"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."}}