{"id":"W4386072910","doi":"10.11159/htff23.180","title":"Jet Direction Control Using Active Switching Nozzle","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Jet (fluid); Physics; Control theory (sociology); Mechanics; Control (management); Aerospace engineering; Materials science; Computer science; Engineering; Artificial intelligence","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":[0.0001096143,0.0002060043,0.0002922361,0.0001543384,0.00007022556,0.00005081209,0.000203074,0.0001211526,0.00001147702],"category_scores_gemma":[0.00008239463,0.0001721224,0.00006477009,0.000392906,0.00002635042,0.0001419112,0.00009930115,0.0002193843,0.000003100016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005396154,"about_ca_system_score_gemma":0.000004175488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004505758,"about_ca_topic_score_gemma":9.832798e-7,"domain_scores_codex":[0.9991274,0.000002191963,0.0002409798,0.0002052771,0.0001450119,0.0002791378],"domain_scores_gemma":[0.9996744,0.00004590606,0.00007922914,0.00009471943,0.00004790428,0.00005788337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002900181,0.000007692913,0.00001451482,0.0001273639,0.00004009163,3.401334e-7,0.000007059195,0.001176035,0.9957996,0.002211933,0.0002341445,0.0003522316],"study_design_scores_gemma":[0.0003403521,0.00001410977,0.00002237654,0.0001741606,0.00003170021,0.000003531384,0.00003544094,0.05845721,0.9398323,0.0002616898,0.0006559404,0.0001711336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975442,0.000004682145,0.00001995298,0.0001597232,0.00120677,0.0001856936,0.00001644667,0.0007499427,0.0001126206],"genre_scores_gemma":[0.9993595,0.00003920958,0.0002827531,0.00002202311,0.0001605928,0.00003091011,0.000001701348,0.0000486,0.00005472227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05728117,"threshold_uncertainty_score":0.7018946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00619991508173845,"score_gpt":0.2010745384464007,"score_spread":0.1948746233646622,"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."}}