{"id":"W4393188675","doi":"10.3390/jsan13020023","title":"Structured Data Ontology for AI in Industrial Asset Condition Monitoring","year":2024,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centre of Innovation","keywords":"Computer science; Ontology; Asset (computer security); Data mining; Artificial intelligence; Natural language processing; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004048576,0.0004791952,0.0005415662,0.002829273,0.001357112,0.004580449,0.002198649,0.001562213,0.002440799],"category_scores_gemma":[0.005588764,0.0004935958,0.001875421,0.003178121,0.002444697,0.006941504,0.003515402,0.002769281,0.001037526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532778,"about_ca_system_score_gemma":0.004134251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009027562,"about_ca_topic_score_gemma":0.007266757,"domain_scores_codex":[0.9966665,0.0008286126,0.0005973449,0.0006064833,0.001122419,0.0001786441],"domain_scores_gemma":[0.9974232,0.0008072237,0.000234564,0.0008057755,0.000550828,0.0001783948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003798966,0.00009629472,0.001337526,0.0004088077,0.00004606992,0.0003548477,0.001334488,0.01132128,0.003166038,0.8884346,0.009280332,0.08418185],"study_design_scores_gemma":[0.00002237899,0.00005293599,0.000968704,0.0005176655,0.00006457352,0.0007527231,0.0009046725,0.1003788,0.005863701,0.4234703,0.4669314,0.00007211402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002831971,0.0006183976,0.9820118,0.00192347,0.0002075094,0.0002715955,0.001035814,0.0008903758,0.01020911],"genre_scores_gemma":[0.05915149,0.001153487,0.9305655,0.0008539515,0.0001115131,0.0004533895,0.003499984,0.0002259466,0.003984728],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009027562,"threshold_uncertainty_score":0.02141112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027187064672268,"score_gpt":0.2904914456587191,"score_spread":0.2602195750119964,"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."}}