{"id":"W4386167475","doi":"10.2514/1.j062619","title":"Two-Way Blade Modeling Method for Structural Redesign of Compressor Blades","year":2023,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Blade (archaeology); Turbomachinery; Gas compressor; Rotor (electric); Nonlinear system; Engineering; Robustness (evolution); Mechanical engineering; Casing; Process (computing); Computer science; Control engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003551494,0.0006817124,0.000489271,0.0004584916,0.0003728975,0.0005980725,0.0008712685,0.0009364559,0.003188896],"category_scores_gemma":[0.0005917837,0.0004705128,0.0008582633,0.0002732779,0.0002850278,0.0005999431,0.0004969813,0.0007816338,0.0008720111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003797658,"about_ca_system_score_gemma":0.0006701535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630668,"about_ca_topic_score_gemma":0.003548384,"domain_scores_codex":[0.9998,0.00004873713,0.00001108407,0.00003293282,0.00009287626,0.00001444529],"domain_scores_gemma":[0.999819,0.00005583637,0.00002888075,0.00003388411,0.00005332107,0.000009259762],"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":[0.00004749242,0.00003995126,0.0006382572,0.00009496984,0.00002308775,0.0001473994,0.0001406307,0.9054468,0.02173872,0.01294646,0.001067142,0.05766909],"study_design_scores_gemma":[0.000002842655,0.00001517638,0.000040538,0.000003001469,0.000002287488,0.00002518015,0.000005796534,0.9963104,0.001209462,0.0003682193,0.002012827,0.000004269765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006269504,0.00007768376,0.9908938,0.00003791395,0.0000303263,0.00004366479,0.00004130837,0.0005725726,0.002033245],"genre_scores_gemma":[0.371756,0.0003228556,0.617902,0.00006388186,0.00002508573,0.0003882565,0.0002535674,0.0003570989,0.00893136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003630668,"threshold_uncertainty_score":0.01066798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808785458916826,"score_gpt":0.2945275690803217,"score_spread":0.2664397144911535,"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."}}