{"id":"W4254180591","doi":"10.5383/ijtee","title":"International Journal of Thermal and Environmental Engineering","year":2024,"lang":"en","type":"paratext","venue":"International Journal of Thermal and Environmental Engineering","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001851044,0.0004145261,0.0004199335,0.000527879,0.00002354375,0.0001637408,0.0005028701,0.0002107558,0.0005623349],"category_scores_gemma":[0.000008984046,0.0003736988,0.0002129556,0.00003864848,0.00005211422,0.0006207275,0.0001872191,0.0008292404,0.00004364464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003144789,"about_ca_system_score_gemma":0.00001641912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002240342,"about_ca_topic_score_gemma":1.343853e-7,"domain_scores_codex":[0.9981371,0.00001169612,0.0007990038,0.0001606715,0.0006636127,0.0002279079],"domain_scores_gemma":[0.9994182,0.0000435214,0.0002745209,0.00009015745,0.00002139134,0.0001522115],"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":[0.00007572949,0.00004770981,0.000222978,0.00009085516,0.001305225,0.0002038636,0.00046472,0.8871336,0.09493823,0.000004920527,0.001407185,0.01410496],"study_design_scores_gemma":[0.003270939,0.0004395709,0.00632211,0.001995564,0.0004859042,0.005590241,0.000378087,0.7486035,0.01719916,0.000008184142,0.2141152,0.001591537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643213,0.01755658,0.00287318,0.0001184716,0.01396767,0.0001032637,0.0003322665,0.00003145551,0.0006957882],"genre_scores_gemma":[0.9816049,0.0136451,0.0009618209,0.00003427002,0.002917002,0.000002810887,0.0001199051,0.0001135609,0.0006005956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.212708,"threshold_uncertainty_score":0.9998715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003111728432127643,"score_gpt":0.1770136749213137,"score_spread":0.1739019464891861,"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."}}