{"id":"W3115868214","doi":"10.18280/ijdne.150612","title":"Multi-Objective Optimization of Structural Parameters for Rotary Flow Jetting Tool Based on Orthogonal Experiment","year":2020,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Nozzle; Flow (mathematics); Spiral (railway); Jet (fluid); Mechanical engineering; Engineering; Volumetric flow rate; Mechanics; Engineering drawing; Aerospace engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001303778,0.0001463629,0.0002095262,0.0001327357,0.00002925053,0.00003678663,0.0001595004,0.0001259951,0.000006943389],"category_scores_gemma":[0.0001028581,0.0001334176,0.0001234475,0.00007364765,0.00002017988,0.0001627492,0.00001439271,0.0002907574,1.439808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009124336,"about_ca_system_score_gemma":0.00004225372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.611015e-7,"about_ca_topic_score_gemma":0.00000127799,"domain_scores_codex":[0.9991147,0.00002190075,0.0003919629,0.0001127978,0.0002487384,0.0001099329],"domain_scores_gemma":[0.9992988,0.000167631,0.0001660455,0.00004892535,0.0002530592,0.00006555323],"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":[0.0004450881,0.00002087327,0.0003247936,0.00001859968,0.0001595327,0.00001033895,0.0002350522,0.9933738,0.002796041,0.00008478586,0.00006016082,0.002470905],"study_design_scores_gemma":[0.001118053,0.0002600443,0.0004517145,0.00005224194,0.00002852781,0.00001631065,0.0000590962,0.9963008,0.001498451,0.00006809925,0.00001660535,0.0001301196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1777694,0.0002580043,0.8209289,0.0001496916,0.0006249655,0.0001598497,0.00008293723,0.00001479448,0.00001142347],"genre_scores_gemma":[0.7171692,0.00003646451,0.2824263,0.0001982709,0.0001182515,0.000002870414,0.00002951789,0.00001810902,9.511401e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5393998,"threshold_uncertainty_score":0.5440611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053090416660708,"score_gpt":0.2431351172232693,"score_spread":0.2326042130566622,"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."}}