{"id":"W4414875586","doi":"10.1016/j.cie.2025.111582","title":"Time-aware knowledge graph reasoning for machinery fault prediction","year":2025,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Knowledge graph; Embedding; ENCODE; Graph; Fault (geology); Knowledge representation and reasoning; Domain knowledge; Knowledge-based systems; Reasoning system","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":[0.0004157147,0.0005877488,0.0008574978,0.002231513,0.0005163053,0.001086999,0.001090717,0.0007836071,0.002229716],"category_scores_gemma":[0.002275666,0.0002666774,0.001075148,0.00122322,0.0003465728,0.002468276,0.0007829104,0.0007372972,0.0003643446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008477176,"about_ca_system_score_gemma":0.001025186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614049,"about_ca_topic_score_gemma":0.01828909,"domain_scores_codex":[0.9995613,0.00005648199,0.00003635629,0.000123064,0.0001647982,0.00005806915],"domain_scores_gemma":[0.9991304,0.0004349898,0.0001035449,0.0001364202,0.0001503462,0.00004440782],"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":[0.0005560876,0.0004601021,0.004552491,0.0002826091,0.0002507276,0.0004961484,0.0001877319,0.5309858,0.01436266,0.01757052,0.007007201,0.4232878],"study_design_scores_gemma":[0.000009152908,0.00003312845,0.000636749,0.00001414031,0.00005545633,0.00004755466,0.00003698369,0.9767352,0.002817959,0.01880698,0.0007960696,0.00001065522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1183029,0.0008970539,0.8728788,0.0004303669,0.0001171426,0.0001252868,0.001415336,0.002810034,0.003023064],"genre_scores_gemma":[0.8584128,0.0003594444,0.1383184,0.0001074916,0.00003721745,0.00003838151,0.001138211,0.0000649723,0.001523124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01614049,"threshold_uncertainty_score":0.03209311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806207812883972,"score_gpt":0.2305020618686335,"score_spread":0.2124399837397938,"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."}}