{"id":"W4408749068","doi":"10.1016/j.jprocont.2025.103408","title":"Cross-domain knowledge transfer in industrial process monitoring: A survey","year":2025,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"State Key Laboratory of Industrial Control Technology; Natural Science Foundation of Jiangxi Province; National Natural Science Foundation of China","keywords":"Process (computing); Domain (mathematical analysis); Knowledge transfer; Computer science; Process engineering; Engineering; Knowledge management; 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":[0.004733637,0.0007273198,0.001136057,0.005392856,0.000475587,0.003130785,0.00217435,0.00152144,0.001593915],"category_scores_gemma":[0.01954312,0.0003747403,0.0006953852,0.005936579,0.0008278157,0.007287929,0.002981046,0.0009861679,0.0006218825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000794702,"about_ca_system_score_gemma":0.0013611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277469,"about_ca_topic_score_gemma":0.0006169345,"domain_scores_codex":[0.9962054,0.0009023895,0.0003852865,0.0009008633,0.001389395,0.0002168115],"domain_scores_gemma":[0.9808748,0.01348206,0.001207428,0.002183099,0.002005304,0.0002473373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001147649,0.0002829698,0.01151519,0.001452713,0.0001639063,0.0001635172,0.0004876489,0.005590859,0.001572138,0.006126255,0.00159418,0.9709358],"study_design_scores_gemma":[0.00009613257,0.001656063,0.1190854,0.007185781,0.001426622,0.009314415,0.007594959,0.2923419,0.06414857,0.1718527,0.3249317,0.0003658054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2144782,0.3289388,0.4073954,0.004668753,0.0003832512,0.000349224,0.001020969,0.001658317,0.04110703],"genre_scores_gemma":[0.781144,0.1368606,0.07426988,0.0008977536,0.0003985454,0.0001547789,0.00187711,0.0001175849,0.004279699],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005392856,"threshold_uncertainty_score":0.02503419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116627222461592,"score_gpt":0.3068340424559198,"score_spread":0.2856677702313039,"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."}}