{"id":"W4416429253","doi":"10.1109/tcss.2025.3625549","title":"Collaborative Allocation Optimization of Production Line Workers Based on Multidimensional Feature Measurement and E-CARGO Model","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"National Natural Science Foundation of China","keywords":"Production line; Adaptability; Production (economics); Matching (statistics); Measure (data warehouse); Key (lock); Feature (linguistics); Isolation (microbiology)","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":[0.001802942,0.001203142,0.001331215,0.0009513856,0.0007277722,0.001872015,0.001629414,0.001266442,0.003205154],"category_scores_gemma":[0.002914666,0.0004912351,0.001025105,0.001284054,0.0007888362,0.00181627,0.001737737,0.0008900681,0.0003111837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529632,"about_ca_system_score_gemma":0.001533198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007395684,"about_ca_topic_score_gemma":0.004115284,"domain_scores_codex":[0.9983541,0.0005451968,0.00008767343,0.000394276,0.0003264348,0.0002923532],"domain_scores_gemma":[0.9990498,0.0003591316,0.000198968,0.00008381226,0.0001841215,0.0001240941],"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":[0.00006260834,0.00004427111,0.0008487817,0.00006320364,0.0000273096,0.00008768933,0.00006895823,0.9729106,0.001241476,0.01081744,0.0005794218,0.01324831],"study_design_scores_gemma":[0.000007574342,0.00002505976,0.0002014793,0.000004394136,0.000008392392,0.00001585537,0.00003050126,0.9958971,0.0002154944,0.003304689,0.0002834215,0.000006099845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03161832,0.0001901924,0.963531,0.0001997425,0.0000267093,0.00008728151,0.00009030393,0.0001307652,0.00412576],"genre_scores_gemma":[0.8707832,0.0003098526,0.1238028,0.00007766102,0.00002342974,0.0003346096,0.0001558328,0.00005361138,0.004458953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007395684,"threshold_uncertainty_score":0.0147053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326130330093552,"score_gpt":0.2431994307195672,"score_spread":0.2299381274186316,"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."}}