{"id":"W2987916572","doi":"10.1115/gt2019-90158","title":"A Methodology and Case Study of Outboard Traverse Flame Detection on Aeroderivative Gas Turbines","year":2019,"lang":"en","type":"article","venue":"Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"","keywords":"Traverse; Combustor; Combustion; Gas burner; Automotive engineering; Industrial gas; Thermocouple; Gas turbines; Mechanical engineering; Engineering; Environmental science; Electrical engineering; Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001735473,0.0002506551,0.0003800247,0.0001708898,0.0001067841,0.00003553259,0.0000912243,0.0001681034,0.0000668865],"category_scores_gemma":[0.00003818446,0.0002513379,0.00005518571,0.0002328325,0.0001631586,0.0001073293,0.00005490217,0.0002212969,0.00001318081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000391597,"about_ca_system_score_gemma":0.0000100881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004419196,"about_ca_topic_score_gemma":0.0004672053,"domain_scores_codex":[0.9986699,0.0001294371,0.0003615468,0.0004154648,0.0001546984,0.0002689957],"domain_scores_gemma":[0.999072,0.0002886851,0.00001305448,0.0003474162,0.0001096638,0.000169184],"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":[0.000805044,0.003407001,0.0181631,0.00100521,0.0008828631,0.0005225443,0.01668971,0.01600552,0.1194903,0.05338594,0.0003860857,0.7692567],"study_design_scores_gemma":[0.02125284,0.009350115,0.05358192,0.0003729385,0.001439646,0.00923871,0.1351761,0.6564272,0.02489807,0.01507365,0.06649754,0.006691223],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889249,0.0001012708,0.009174806,0.0001986747,0.0001246229,0.0001376333,0.00002251006,0.000121699,0.001193911],"genre_scores_gemma":[0.9988254,0.0001326332,0.0005713874,0.0001021593,0.00004568588,0.00009342771,0.00001166887,0.00003918901,0.000178504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7625655,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304972607732117,"score_gpt":0.2348369176080253,"score_spread":0.2217871915307041,"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."}}