{"id":"W3119782646","doi":"10.1063/5.0030289","title":"Comparison of turbine blade film cooling efficiency between PSP and TLC techniques in a stationary wind tunnel","year":2021,"lang":"en","type":"article","venue":"AIP Advances","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; University of Guelph","keywords":"Thermal conduction; Reynolds number; Wind tunnel; Materials science; Coolant; Pressure-sensitive paint; Turbine blade; Thermodynamics; Mechanics; Turbine; Composite material; Turbulence; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00005339465,0.00008338811,0.0001758939,0.00008027177,0.00002665396,0.000009268929,0.00004684451,0.00003835913,0.00001195421],"category_scores_gemma":[0.00001779403,0.00008326364,0.000013479,0.0002358523,0.00002701456,0.0002840531,0.00001747759,0.00009780335,9.234091e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001587753,"about_ca_system_score_gemma":0.00001243156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004355485,"about_ca_topic_score_gemma":0.00002777705,"domain_scores_codex":[0.9994582,0.00001070426,0.0002277214,0.0001066245,0.00008542297,0.0001113099],"domain_scores_gemma":[0.9997777,0.00006093403,0.00003691674,0.00007398696,0.00002920761,0.00002127899],"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":[0.000008648962,0.00003506521,0.3413832,0.0001711288,0.000009022864,0.000003317693,0.0007687908,0.6357424,0.004466228,0.00003140036,0.00004776879,0.01733306],"study_design_scores_gemma":[0.0005240025,0.0001235564,0.3777849,0.0002935788,0.00002381201,0.000005765185,0.0006756243,0.497741,0.1194471,0.0003171998,0.002715302,0.0003481926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827449,0.006384201,0.01004589,0.00002672516,0.00005113413,0.00007865604,0.00001474672,0.00008618146,0.0005675479],"genre_scores_gemma":[0.9914173,0.0008755348,0.007574437,0.00001267866,0.00003833315,0.000004060357,0.00005360012,0.00001066298,0.00001343191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1380014,"threshold_uncertainty_score":0.3395393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092519737047422,"score_gpt":0.2780559409681103,"score_spread":0.2671307435976361,"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."}}