{"id":"W1598674374","doi":"10.1002/9780470686652.eae274","title":"Integrated Health Monitoring for Multiple Air Vehicles","year":2010,"lang":"en","type":"other","venue":"Encyclopedia of Aerospace Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fault detection and isolation; Real-time computing; Actuator; Detector; Computer science; Fault (geology); Fidelity; Nonlinear system; Engineering; Control engineering; Artificial intelligence; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001440369,0.0004417889,0.0006750819,0.000306841,0.0000306278,0.00001642565,0.0002259944,0.000439522,0.00003570446],"category_scores_gemma":[0.0001009472,0.000469764,0.0001705746,0.0002045488,0.00001706021,0.00005038891,0.00001924642,0.0005226652,0.00001637583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009759808,"about_ca_system_score_gemma":0.00004402734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002951607,"about_ca_topic_score_gemma":0.0002479143,"domain_scores_codex":[0.9986794,0.00001073261,0.0004058045,0.0002677101,0.0001883612,0.000447963],"domain_scores_gemma":[0.9992049,0.0001015905,0.0001373523,0.0003594008,0.00003317949,0.0001635924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005459561,0.0001277025,0.001737493,0.01076554,0.001283667,0.00001049278,0.001624566,0.1864067,0.05870974,0.0001969222,0.6657571,0.07332552],"study_design_scores_gemma":[0.0005989685,0.00004670849,0.0001230435,0.000649635,0.00001698024,0.000002501757,0.0000805503,0.03764348,0.001781774,8.976698e-7,0.9586186,0.000436854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02647555,0.0605659,0.3581797,0.0005228802,0.1095165,0.01307597,0.002196269,0.03127304,0.3981943],"genre_scores_gemma":[0.3101085,0.008275464,0.08050758,0.00003489399,0.01132184,0.001861643,0.0002469151,0.007470318,0.5801728],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2928615,"threshold_uncertainty_score":0.9997754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005672727049393282,"score_gpt":0.2116583715646439,"score_spread":0.2059856445152506,"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."}}