{"id":"W4414417962","doi":"10.1016/j.jii.2025.100963","title":"Multi-objective heterogeneous interactive human-robot collaborative disassembly line balancing with partial destructive mode in type-2 fuzzy environment","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Fuzzy logic; Operator (biology); Process (computing); Interval (graph theory); Metaheuristic; Load balancing (electrical power); Fuzzy set; Assembly line","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":[0.0009150064,0.001144761,0.001319744,0.0005717597,0.001017288,0.001020377,0.001258883,0.001062397,0.002140412],"category_scores_gemma":[0.000815811,0.0005407208,0.0006745373,0.0004587698,0.0005298217,0.0006955724,0.001067925,0.0003901151,0.0001515545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007138549,"about_ca_system_score_gemma":0.0007029906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154171,"about_ca_topic_score_gemma":0.009811869,"domain_scores_codex":[0.9995914,0.00009535765,0.00001697114,0.0001063305,0.0001031217,0.00008696235],"domain_scores_gemma":[0.9995108,0.0002299893,0.00007055906,0.0000267264,0.0001094574,0.00005251006],"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":[0.0001463071,0.00007011035,0.0005392715,0.00007398923,0.00005718737,0.0001313411,0.00009722261,0.9787981,0.003683611,0.001535759,0.0002527038,0.01461448],"study_design_scores_gemma":[0.000009029047,0.00006041641,0.0001769995,0.000002499011,0.00001107212,0.0000101002,0.00002127695,0.9989334,0.0003283917,0.0003675013,0.00007495948,0.000004458633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2064437,0.000317101,0.7842974,0.0001339228,0.00004851147,0.0000933984,0.00004978569,0.0002116185,0.008404738],"genre_scores_gemma":[0.9767269,0.00004728929,0.02108006,0.00002535397,0.000009902508,0.00006525045,0.00002254965,0.0000126838,0.002010051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01154171,"threshold_uncertainty_score":0.0229491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541691029216011,"score_gpt":0.2589977142738799,"score_spread":0.2435808039817197,"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."}}