{"id":"W2008336140","doi":"10.1115/gt2006-91088","title":"Comparison of Transient Modeling Techniques for a Micro Turbine Engine","year":2006,"lang":"en","type":"article","venue":"Volume 5: Marine; Microturbines and Small Turbomachinery; Oil and Gas Applications; Structures and Dynamics, Parts A and B","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Combustor; Transient (computer programming); Gas compressor; Mechanics; Turbine; Turbojet; Materials science; Mechanical engineering; Engineering; Physics; Computer science; Combustion; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001025063,0.0004030913,0.0005289411,0.0001729358,0.0002686561,0.0001218038,0.00009343414,0.0001787776,0.000005407234],"category_scores_gemma":[0.000003980869,0.0003382692,0.00006781528,0.0001288162,0.0001390075,0.0001222468,0.000077409,0.0001838694,1.042215e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001711697,"about_ca_system_score_gemma":0.000009254486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005101258,"about_ca_topic_score_gemma":0.0006198359,"domain_scores_codex":[0.9986196,0.00001229129,0.0005549712,0.0004234106,0.00008229947,0.0003074246],"domain_scores_gemma":[0.999464,0.00003694518,0.00010553,0.0001942339,0.00008934381,0.0001098982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002680336,0.0001843404,0.06626686,0.003242993,0.0001809431,0.000001990727,0.0006073946,0.07806028,0.01492839,0.006938193,0.0005965849,0.828724],"study_design_scores_gemma":[0.0007587317,0.0001048854,0.007639027,0.00004190845,0.0001144789,0.00005743265,0.00005247831,0.9809881,0.0006242371,0.003210018,0.005951232,0.0004574733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556474,0.007328492,0.03542501,0.0003603811,0.00006824104,0.0004465086,0.0002219852,0.0001701119,0.0003318454],"genre_scores_gemma":[0.973684,0.003797823,0.02106557,0.00005082904,0.000203331,0.0001809966,0.0006032888,0.00005434238,0.000359863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9029278,"threshold_uncertainty_score":0.999907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006026258603628718,"score_gpt":0.2118160672245022,"score_spread":0.2057898086208735,"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."}}