{"id":"W4413350844","doi":"10.1115/1.4069488","title":"Efficiency Enhancement in Pressure Gain Combustion Combined Cycle Gas Turbine by Blade Cooling Integration With Bottoming Cycle","year":2025,"lang":"en","type":"article","venue":"Journal of Turbomachinery","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation","funders":"European Commission","keywords":"Gas turbines; Blade (archaeology); Combined cycle; Combustion chamber; Turbine; Mechanical engineering; Combustion; Turbine blade; Engineering; Materials science; Nuclear engineering; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000162728,0.0002770456,0.0004048788,0.0002212081,0.0001633452,0.0003935896,0.0003375391,0.0002416665,0.0009852715],"category_scores_gemma":[0.0002065928,0.0001416444,0.0003738893,0.000188026,0.0002832656,0.0002740839,0.0002727206,0.0002249492,0.0001379371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551127,"about_ca_system_score_gemma":0.0002959176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547913,"about_ca_topic_score_gemma":0.002512303,"domain_scores_codex":[0.9999014,0.00001604849,0.000002625758,0.0000188836,0.00004277628,0.00001828761],"domain_scores_gemma":[0.9999293,0.00002009239,0.00001044604,0.000008628403,0.00002197215,0.000009499548],"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":[0.0006910613,0.0002692674,0.008003179,0.0002710893,0.00007354229,0.000381472,0.00009186537,0.5499939,0.3931015,0.001855591,0.0005242157,0.04474342],"study_design_scores_gemma":[0.00004104322,0.0005727197,0.004391658,0.000008358643,0.00002649484,0.00004669699,0.00002297118,0.9323466,0.06102299,0.0002173759,0.001288517,0.00001453528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675779,0.0001815555,0.02807688,0.0000284345,0.00002995416,0.00002286642,0.0000336494,0.0002232427,0.003825488],"genre_scores_gemma":[0.9978679,0.00001969967,0.001730768,0.000002463402,0.000001373607,0.000004219111,0.00001328197,0.00001005258,0.0003502014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547913,"threshold_uncertainty_score":0.005066156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002716977802508748,"score_gpt":0.2089156102968858,"score_spread":0.206198632494377,"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."}}