{"id":"W6989361380","doi":"","title":"An approach to fatigue damage estimation of helicopter rotating components using computational intelligence techniques","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computational intelligence; Rotor (electric); Computational model; State (computer science); Control (management); Helicopter rotor; SIGNAL (programming language); Component (thermodynamics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004333757,0.0009159649,0.0006450084,0.001161489,0.0003283663,0.0008156375,0.0007977913,0.0006077712,0.0006140709],"category_scores_gemma":[0.002022639,0.0004014586,0.000609429,0.0006019862,0.0005258226,0.0007531916,0.0005749972,0.0008389305,0.0002275537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367913,"about_ca_system_score_gemma":0.0004776967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00398385,"about_ca_topic_score_gemma":0.002752095,"domain_scores_codex":[0.9996982,0.00005896852,0.00002109086,0.0000685881,0.0001260246,0.00002719653],"domain_scores_gemma":[0.9992732,0.0002924544,0.0001471982,0.00009962756,0.0001670905,0.00002031411],"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":[0.00003755996,0.00007905329,0.001557009,0.00006707208,0.00006213348,0.00004642046,0.00007091205,0.871348,0.008196973,0.005679897,0.0004978345,0.1123573],"study_design_scores_gemma":[0.000001315625,0.00001291367,0.0004076856,0.000003194349,0.000004440361,0.000008812541,0.000006293464,0.9962448,0.001021229,0.002027204,0.0002572376,0.00000486529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01063531,0.0001183871,0.9882131,0.00007847734,0.000009608292,0.00001838779,0.00002783533,0.0001654324,0.000733484],"genre_scores_gemma":[0.5775008,0.0003907724,0.4199278,0.0000939438,0.00007885387,0.0001380611,0.0002037822,0.00005925244,0.001606766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00398385,"threshold_uncertainty_score":0.007921338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690768974008835,"score_gpt":0.2750939446056742,"score_spread":0.2381862548655858,"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."}}