{"id":"W2526042832","doi":"10.1299/jsmepes.2014.19.375","title":"F224 Study of washing by using supersonic wet steam","year":2014,"lang":"en","type":"article","venue":"Doryoku, Enerugi Gijutsu Shinpojiumu koen ronbunshu/Doryoku, enerugi gijutsu no saizensen koen ronbunshu","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supersonic speed; Nozzle; Choked flow; Jet (fluid); Flow (mathematics); Mechanical engineering; Environmental science; Mechanics; Materials science; Waste management; Engineering; Nuclear engineering; Aerospace engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.005400945,0.003529049,0.003998823,0.001007779,0.002403301,0.0008075111,0.005026693,0.001359931,0.008072853],"category_scores_gemma":[0.001278736,0.003431058,0.001424044,0.002589951,0.001562773,0.002441404,0.003306106,0.00301302,0.002463423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981588,"about_ca_system_score_gemma":0.0003432515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157842,"about_ca_topic_score_gemma":0.003740041,"domain_scores_codex":[0.9776302,0.003433448,0.004480604,0.005125523,0.004748618,0.004581594],"domain_scores_gemma":[0.9882531,0.00163324,0.002509243,0.004987307,0.0004061341,0.00221094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002214327,0.01133581,0.2371396,0.0008765459,0.001882459,0.0003750552,0.02371568,0.06913073,0.4929945,0.001029909,0.1223738,0.0369316],"study_design_scores_gemma":[0.05858782,0.01447853,0.05046278,0.003252149,0.005590952,0.0009097722,0.04570665,0.1841332,0.2030951,0.002082352,0.4023941,0.02930659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493951,0.0009296822,0.002286599,0.0004062763,0.002825458,0.002729743,0.0002848964,0.001052917,0.04008935],"genre_scores_gemma":[0.9838824,0.0002238498,0.00348887,0.002025002,0.001269285,0.0002738015,0.0003602382,0.0008787531,0.007597837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2898993,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130628723249714,"score_gpt":0.233590489906572,"score_spread":0.2222842026740748,"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."}}