{"id":"W2022409413","doi":"10.1115/gt2004-53377","title":"Set Up and Operational Experience With a Micro-Turbine Engine for Research and Education","year":2004,"lang":"en","type":"article","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jet engine; Turbomachinery; Turbine; Installation; Automotive engineering; Centrifugal compressor; Engineering; Gas compressor; Turbofan; Thrust; Computer science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005885595,0.00005551019,0.00004421593,0.00006277012,0.00008016459,0.00004747196,0.00002504769,0.00002405462,0.00001361113],"category_scores_gemma":[0.000005559224,0.00004305445,0.000003177281,0.00009369717,0.00003102214,0.000240221,0.000007775915,0.00004924705,0.000001267444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002270741,"about_ca_system_score_gemma":0.00003197997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001421102,"about_ca_topic_score_gemma":0.00002121741,"domain_scores_codex":[0.9996799,0.000001971439,0.00005961351,0.00009319115,0.00006312381,0.0001021857],"domain_scores_gemma":[0.9998265,0.0000127565,0.000003704908,0.00005379147,0.00006656205,0.00003666957],"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":[0.0003724863,0.0001692027,0.02231614,0.0007240647,0.00008646466,0.000002110943,0.04142746,0.8015175,0.06459768,0.0242604,0.009815693,0.03471082],"study_design_scores_gemma":[0.00714363,0.00136841,0.03564346,0.000282337,0.00002492816,0.0002682749,0.006814841,0.741407,0.1832286,0.002500832,0.0201268,0.001190876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981279,0.0002718937,0.01761502,0.0002034963,0.00005542965,0.0001999433,0.000003934461,0.00004410414,0.0003271429],"genre_scores_gemma":[0.9807819,0.000104645,0.01825984,0.00004843093,0.00006181762,0.00008992738,0.00004813898,0.00001013919,0.0005951849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1186309,"threshold_uncertainty_score":0.1755709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430527781254566,"score_gpt":0.3047318570334036,"score_spread":0.2804265792208579,"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."}}