{"id":"W4409359852","doi":"10.1139/tcsme-2024-0004","title":"An efficient optimization design method for centrifugal compressor blades","year":2025,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centrifugal compressor; Gas compressor; Mechanical engineering; Computer science; Engineering; Structural engineering","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":[0.0002630194,0.0001391564,0.0001775872,0.00008861092,0.000208997,0.00001815211,0.000260428,0.0001885217,0.00001047893],"category_scores_gemma":[0.00003185781,0.0001398635,0.0003215559,0.0003243792,0.0000170306,0.00005580559,0.000002271563,0.0001644537,1.654509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002430934,"about_ca_system_score_gemma":0.00009766082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002303307,"about_ca_topic_score_gemma":0.0003107086,"domain_scores_codex":[0.9992539,0.00001208318,0.0002277366,0.0001470414,0.00006449863,0.0002947995],"domain_scores_gemma":[0.9993274,0.0002285762,0.00002007273,0.0002350201,0.00006974592,0.0001191398],"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":[0.000005421271,0.00001208092,2.150274e-7,0.0001454962,0.0001319329,2.023616e-8,0.00007239444,0.9892866,0.005956047,0.003671681,0.000129216,0.0005888978],"study_design_scores_gemma":[0.000373722,0.0000190257,0.000007860624,0.00003053572,0.0001110651,0.000001001303,0.00002999767,0.9569268,0.0405078,0.00006860992,0.001801635,0.0001219344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000134375,0.0001503705,0.9978519,0.0002226756,0.0006186558,0.0007050899,0.0001208694,0.0001849154,0.00001114384],"genre_scores_gemma":[0.4408199,0.000009397695,0.5588354,0.00004528798,0.00002499053,0.0001952957,0.00001108916,0.00003056572,0.00002800998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4406855,"threshold_uncertainty_score":0.5703467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082664874079396,"score_gpt":0.234807283515504,"score_spread":0.22398063477471,"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."}}