{"id":"W4409250837","doi":"10.1007/s00170-025-15379-0","title":"Smart adaptable assembly line rebalancing and maintenance","year":2025,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Assembly line; Industrial and production engineering; Manufacturing engineering; Line (geometry); Computer science; Engineering; Engineering drawing; Systems engineering; Mechanical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428726,0.0006108007,0.0004683336,0.0002721977,0.0002113186,0.0005625812,0.0007764628,0.0003842877,0.003537363],"category_scores_gemma":[0.0005215809,0.0002228139,0.0002504791,0.0003036295,0.0002175564,0.0005889416,0.0006443685,0.0004737563,0.0006898071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845974,"about_ca_system_score_gemma":0.000194608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007445847,"about_ca_topic_score_gemma":0.001344507,"domain_scores_codex":[0.9998099,0.00002705962,0.000008027144,0.00005366269,0.00006932775,0.00003202756],"domain_scores_gemma":[0.9997726,0.00004899527,0.00004675322,0.00007703924,0.00003882301,0.00001580865],"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":[0.0006128121,0.0001955535,0.00139949,0.0001127097,0.00005262268,0.000264198,0.0000974323,0.5686961,0.1307072,0.006142465,0.003641227,0.2880782],"study_design_scores_gemma":[0.00001930449,0.0001202225,0.001013356,0.000004095659,0.00001215888,0.00007315908,0.00001751906,0.9878941,0.006896272,0.001881782,0.00205706,0.00001103229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1323939,0.0002576939,0.8514816,0.0001285535,0.0001813675,0.00006564883,0.0001171104,0.002455166,0.01291903],"genre_scores_gemma":[0.9619284,0.00004720076,0.03344342,0.00005036412,0.00002782923,0.00003317975,0.00006061692,0.00007804774,0.004330907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003537363,"threshold_uncertainty_score":0.01183361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003925827416276902,"score_gpt":0.2224465550750345,"score_spread":0.2185207276587576,"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."}}