{"id":"W4411728729","doi":"10.1016/j.aei.2025.103577","title":"Knowledge vortex network for continuous bearing remaining useful life prediction","year":2025,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Bearing (navigation); Vortex; Computer science; Engineering; Artificial intelligence; Physics; Mechanics","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":[0.0005133695,0.0005078793,0.0008087669,0.001127648,0.0004125338,0.0006798115,0.0008557828,0.0007960969,0.002252407],"category_scores_gemma":[0.002054688,0.0002169814,0.0003565871,0.0008115178,0.0003293589,0.001291314,0.0006095759,0.0007071384,0.0003509819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007145743,"about_ca_system_score_gemma":0.0009514214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009161243,"about_ca_topic_score_gemma":0.007896454,"domain_scores_codex":[0.9998239,0.0000300461,0.00001111993,0.00005824094,0.00004711083,0.0000297469],"domain_scores_gemma":[0.9991931,0.0004679221,0.00007413406,0.00007354697,0.0001591335,0.00003219661],"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":[0.0004195324,0.0001855804,0.003314242,0.00007183657,0.00006873756,0.0001300709,0.00003682068,0.757812,0.001791662,0.007771851,0.003845292,0.2245523],"study_design_scores_gemma":[0.000002585022,0.00001344219,0.0001868136,0.000003236162,0.000005652694,0.000005217547,0.000003976416,0.9967415,0.0002140424,0.002649371,0.0001726571,0.000001676082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1173587,0.001220795,0.8746404,0.0004542882,0.0001556685,0.00008154682,0.001765453,0.000985129,0.00333804],"genre_scores_gemma":[0.9481575,0.0003754325,0.04622879,0.00007852281,0.00005576832,0.00009647157,0.001610032,0.00002686799,0.00337074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009161243,"threshold_uncertainty_score":0.01821584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005847454153244541,"score_gpt":0.2480900632699473,"score_spread":0.2422426091167028,"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."}}