{"id":"W2137760413","doi":"10.1115/power2010-27233","title":"Blisk Life Prediction for Twin-Shaft Turbo Engines by Using a Two-Dimensional Thermal Off-Design Model","year":2010,"lang":"en","type":"article","venue":"ASME 2010 Power Conference","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Life Prediction Technologies (Canada)","funders":"","keywords":"Prognostics; Integrally closed; Aero engine; Structural engineering; Automotive engineering; Engineering; Computer science; Mechanical engineering; Reliability 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730833,0.0003966588,0.0004303275,0.0003248085,0.0003315368,0.0004428373,0.0005886677,0.0006123158,0.0009797473],"category_scores_gemma":[0.000635349,0.0003754663,0.0004154187,0.0001833809,0.0002665086,0.0004525779,0.0003315542,0.0004667208,0.0002400418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007760123,"about_ca_system_score_gemma":0.0008717726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01324243,"about_ca_topic_score_gemma":0.008392496,"domain_scores_codex":[0.9999137,0.00001439935,0.000006055203,0.0000143364,0.00003927775,0.00001210202],"domain_scores_gemma":[0.9998013,0.000052671,0.00003077694,0.00002689507,0.00006934348,0.00001905586],"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":[0.00003356506,0.00001332454,0.001089468,0.000009236634,0.000002666205,0.00002301019,0.00001382347,0.9935625,0.002250577,0.000339359,0.0001224763,0.002539974],"study_design_scores_gemma":[0.000001964414,0.000009920482,0.0001835167,6.636782e-7,8.038943e-7,0.000004212126,0.000001554679,0.9992348,0.0004205015,0.00006057428,0.0000798398,0.000001704199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8475897,0.0002233593,0.1437194,0.0001187793,0.00002798243,0.00005077786,0.0004526248,0.0005193487,0.007297915],"genre_scores_gemma":[0.9897169,0.00006334355,0.007964384,0.000006568906,0.000002640259,0.00002894509,0.0001784231,0.00003219774,0.002006563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01324243,"threshold_uncertainty_score":0.02633071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774230224232022,"score_gpt":0.2253292120741532,"score_spread":0.2075869098318329,"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."}}