{"id":"W2009895881","doi":"10.1115/gt2007-27392","title":"An Innovative Non-Destructive Method for the In-Service Metal Surface Temperature Estimation of Coated GT Parts","year":2007,"lang":"en","type":"article","venue":"","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Airfoil; Superalloy; Eddy current; Materials science; Turbine; Coating; Thermography; Turbine blade; Nondestructive testing; Mechanical engineering; Temperature measurement; Gas turbines; Computer science; Metallurgy; Composite material; Structural engineering; Engineering; Infrared; Optics; Microstructure; Physics; Thermodynamics; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006569272,0.0001584872,0.0002166062,0.00006659067,0.0000505546,0.0000248042,0.0001496505,0.000140305,0.00002024353],"category_scores_gemma":[0.00002723159,0.0001081344,0.00003041587,0.001010533,0.00001939702,0.0002235377,0.00001096964,0.0001972624,0.00000171041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003263491,"about_ca_system_score_gemma":0.0000233426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115611,"about_ca_topic_score_gemma":0.0006264895,"domain_scores_codex":[0.9992009,0.00002706283,0.0002849432,0.000152966,0.0001246862,0.0002094858],"domain_scores_gemma":[0.9991308,0.0002875023,0.00004228802,0.0002073822,0.0002962597,0.00003580089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008155769,0.00004379774,0.0001915458,0.00007589288,0.0001410114,0.000002507743,0.003268623,0.3302169,0.6550561,0.008478978,0.0001939652,0.002249096],"study_design_scores_gemma":[0.0007165686,0.0001081798,0.0142223,0.00002992972,0.00003624239,0.00000566117,0.001329507,0.3953165,0.5873326,0.0002624948,0.000388595,0.0002514092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559492,0.00006572173,0.1420873,0.0001035216,0.0001478114,0.0004886785,0.00002079631,0.00008118529,0.001055809],"genre_scores_gemma":[0.9369465,0.000002995955,0.06279268,0.0001075933,0.00003307358,0.00001465563,0.00004275175,0.00002503772,0.00003471997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08099727,"threshold_uncertainty_score":0.4409594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008397115951801107,"score_gpt":0.2728060946985577,"score_spread":0.2644089787467566,"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."}}