{"id":"W2753174481","doi":"10.1109/tii.2017.2746761","title":"A Dendritic Cell Immune System Inspired Scheme for Sensor Fault Detection and Isolation of Wind Turbines","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Qatar Foundation","keywords":"Fault detection and isolation; Redundancy (engineering); Wind power; Computer science; Turbine; Isolation (microbiology); Scheme (mathematics); Artificial immune system; Engineering; Real-time computing; Reliability engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835991,0.0001675177,0.0002694812,0.0001603681,0.0005080654,0.0001061931,0.0001415926,0.0002602467,0.000002693728],"category_scores_gemma":[0.00002009195,0.0001798491,0.00008518396,0.00009780511,0.00006623344,0.0004839365,0.000001888024,0.0002251059,0.00001207571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009560396,"about_ca_system_score_gemma":0.00002523525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008220974,"about_ca_topic_score_gemma":0.00002439285,"domain_scores_codex":[0.9988156,0.00001407864,0.0007848986,0.00007852228,0.0001317717,0.0001751081],"domain_scores_gemma":[0.9990116,0.00008944993,0.0002874463,0.0004308051,0.0001259164,0.00005482691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003367834,0.0002045283,0.0000744241,0.002965518,0.0004280406,7.275859e-7,0.00593842,0.2897567,0.6551327,0.0003775143,0.0001035104,0.04468116],"study_design_scores_gemma":[0.001184618,0.0001004423,0.00004115553,0.0001540166,0.00006549645,0.000007749247,0.001689313,0.4872306,0.5089874,0.000006846547,0.0003434623,0.0001889866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.494641,0.0000176386,0.5027527,0.00001448922,0.0009340511,0.0009090781,0.00009386306,0.0001517685,0.0004854004],"genre_scores_gemma":[0.9980382,0.000007505418,0.001642652,0.000001989641,0.00009505318,0.000114285,0.000004699674,0.00002830844,0.00006733985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5033971,"threshold_uncertainty_score":0.7334033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270045840094393,"score_gpt":0.2398377559424175,"score_spread":0.2071372975414735,"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."}}