{"id":"W2883821119","doi":"10.22215/etd/2016-11225","title":"Gas Turbine Engine Performance Estimation and Prediction","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Gas compressor; Turbine; Performance prediction; Performance indicator; Fault (geology); Nonlinear system; Engineering; Reliability engineering; Computer science; Simulation; Mechanical 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":[0.0004667204,0.0007292763,0.000557529,0.0004232024,0.0001327191,0.0006740547,0.0005581619,0.0004903488,0.0006074512],"category_scores_gemma":[0.001446844,0.000218318,0.0003628122,0.0003714412,0.0001848281,0.0005149642,0.000359471,0.00062187,0.0003969898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004710383,"about_ca_system_score_gemma":0.0005553767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008884693,"about_ca_topic_score_gemma":0.005757028,"domain_scores_codex":[0.9997641,0.00002933518,0.00001407939,0.0000971084,0.0000674954,0.00002792884],"domain_scores_gemma":[0.9997228,0.0001086358,0.00004918346,0.00003532235,0.00007413072,0.000009940492],"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":[0.00003622168,0.00003363383,0.004293412,0.00005945339,0.00002092549,0.00003101004,0.00001224273,0.9600561,0.003329177,0.000847568,0.0004794908,0.03080079],"study_design_scores_gemma":[7.315573e-7,0.000006146649,0.001389495,0.00000191963,0.000002400433,0.000003137007,0.000001580919,0.9975328,0.0007329356,0.000229836,0.00009616719,0.000002735976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2429575,0.001061652,0.7472377,0.0002934957,0.00006603826,0.00008356907,0.0008711786,0.001445196,0.005983679],"genre_scores_gemma":[0.9843141,0.0003239585,0.01318794,0.00001736985,0.00002315627,0.00002846875,0.0006013457,0.00002745167,0.001476417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008884693,"threshold_uncertainty_score":0.01766598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002894982240821473,"score_gpt":0.1839581226341492,"score_spread":0.1810631403933278,"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."}}