{"id":"W2335285851","doi":"10.2514/6.2006-3187","title":"Open-Loop Control of the Disk Wake in Air and in Water","year":2006,"lang":"en","type":"article","venue":"3rd AIAA Flow Control Conference","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Syracuse University; New York Space Grant Consortium","keywords":"Wake; Loop (graph theory); Control (management); Computer science; Open-loop controller; Environmental science; Control theory (sociology); Aerospace engineering; Closed loop; Control engineering; Engineering; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001900041,0.0001268347,0.0002673678,0.00009098506,0.0000209103,0.00001517272,0.0003163204,0.00007636283,0.00002622622],"category_scores_gemma":[0.00003077302,0.00009008592,0.00002257563,0.0001328105,0.00003834863,0.0001056003,0.00004758016,0.0001740765,0.000009350509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002450833,"about_ca_system_score_gemma":0.0000151739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001375532,"about_ca_topic_score_gemma":0.0006141828,"domain_scores_codex":[0.9992089,0.00004383539,0.0002791174,0.0001542493,0.00006846572,0.0002454622],"domain_scores_gemma":[0.9996299,0.00008009865,0.00001764103,0.0002077086,0.00003058596,0.00003410639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009200457,0.00005539932,0.08921664,0.0000580114,0.00002604401,0.000006924513,0.0003235759,0.8134382,0.0901005,0.003207603,0.00009028066,0.003384789],"study_design_scores_gemma":[0.003798194,0.00001950165,0.5613008,0.00006451212,0.00001207381,0.000003105963,0.00001629927,0.4265891,0.006144036,0.0005651654,0.001287514,0.0001997062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461977,0.0002263044,0.05006444,0.001173902,0.00018337,0.0006077982,0.00002457646,0.00005434318,0.001467496],"genre_scores_gemma":[0.9995507,0.000007512793,0.00009734892,0.0001329686,0.00002000974,0.00008093103,0.000002666402,0.00001231178,0.00009554159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4720841,"threshold_uncertainty_score":0.3673597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005347059218356553,"score_gpt":0.180264625335777,"score_spread":0.1749175661174205,"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."}}