{"id":"W2896937288","doi":"10.1108/ir-03-2018-0053","title":"Instrumentation and self-repairing control for resilient multi-rotor aircrafts","year":2018,"lang":"en","type":"article","venue":"Industrial Robot the international journal of robotics research and application","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Robustness (evolution); Reliability (semiconductor); Engineering; Actuator; Rotor (electric); Resilience (materials science); Automotive engineering; Control engineering; Computer science; Reliability engineering; Mechanical engineering","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":[0.001181735,0.00008108771,0.0001197153,0.000161516,0.000161017,0.0001600651,0.0002294333,0.00008330853,0.000002099052],"category_scores_gemma":[0.0001739116,0.00006171842,0.00003709147,0.0001046506,0.00009326245,0.00014256,0.0000290302,0.0002548703,0.000003217207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141695,"about_ca_system_score_gemma":0.00004624617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002267974,"about_ca_topic_score_gemma":0.00003123403,"domain_scores_codex":[0.9988701,0.0000596986,0.0003578824,0.0001056868,0.0004500139,0.0001566685],"domain_scores_gemma":[0.998744,0.0002690178,0.0001128336,0.00008712822,0.0006965508,0.0000905204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003542598,0.0006723658,0.008174371,0.000112588,0.002306093,0.00001117271,0.002099927,0.2438481,0.2480967,0.01242505,0.009502564,0.4692084],"study_design_scores_gemma":[0.00660549,0.0006984822,0.001393779,0.00008952106,0.00003649727,0.00009547737,0.0004129985,0.9608177,0.009114859,0.000970357,0.01961919,0.0001456606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3153923,0.0003374296,0.6745877,0.00554644,0.001941145,0.001953186,0.00001716474,0.00008660631,0.0001380879],"genre_scores_gemma":[0.9967404,0.00008929743,0.001528296,0.00003362155,0.001480363,0.00006440048,0.000002087794,0.00001307437,0.00004847135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7169695,"threshold_uncertainty_score":0.2516804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05555100878271409,"score_gpt":0.3442498999262318,"score_spread":0.2886988911435177,"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."}}