{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006779639,0.00008118624,0.0001069068,0.00007514166,0.0000435737,0.00004031522,0.00009577379,0.00003653905,0.00006997095],"category_scores_gemma":[0.00001995997,0.00008592897,0.00001702084,0.000102874,0.00001902274,0.0003226039,0.00001371167,0.00006513112,0.00001369555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001932376,"about_ca_system_score_gemma":0.000006529192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001775453,"about_ca_topic_score_gemma":4.662655e-7,"domain_scores_codex":[0.9994316,0.00002269645,0.0002185683,0.00009607174,0.000129655,0.0001014796],"domain_scores_gemma":[0.9997057,0.00004386192,0.00003463908,0.00008897707,0.0000719358,0.00005488345],"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":[0.000001590004,0.00002607714,0.0001689267,0.00003208727,0.000005979328,5.907194e-8,0.0003466941,0.9055227,0.07608312,0.001025733,0.00001998768,0.01676705],"study_design_scores_gemma":[0.00003898695,0.00002157611,0.00204672,0.00003308717,0.000003807281,9.128003e-7,0.00004662955,0.9728995,0.02343044,0.001393927,0.000001864696,0.00008258093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3360738,9.854967e-7,0.6625225,0.00001077455,0.00001877181,0.0001905219,0.000004150249,0.00009209814,0.001086372],"genre_scores_gemma":[0.5798498,1.12465e-7,0.4200608,0.00002600624,0.00001537213,0.00001917935,0.00002030248,0.000007471211,9.647746e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.243776,"threshold_uncertainty_score":0.3504082,"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."}}