{"id":"W2050263812","doi":"10.1007/s003480050428","title":"Survey of multi-wire probe data processing techniques and efficient processing of four-wire probe velocity measurements in turbulent flows","year":2000,"lang":"en","type":"article","venue":"Experiments in Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Calibration; Turbulence; Data processing; Wake; Airfoil; Sensitivity (control systems); Anemometer; Acoustics; Physics; Computer science; Mechanics; Electronic engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009496769,0.0003400382,0.0005066356,0.0002442884,0.000056703,0.00004444491,0.0005142517,0.0001645075,0.00003001549],"category_scores_gemma":[0.00003904198,0.0003380648,0.00003006997,0.0005189265,0.00009204964,0.000270745,0.0001746345,0.0002282426,0.000001174881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210851,"about_ca_system_score_gemma":0.0001056814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003668359,"about_ca_topic_score_gemma":0.0001626875,"domain_scores_codex":[0.9976227,0.00009514635,0.0008579406,0.0005258317,0.0004841444,0.0004141823],"domain_scores_gemma":[0.9991863,0.00001746587,0.00008502513,0.0005352532,0.00009828967,0.00007764054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004044139,0.003870409,0.1003741,0.004019971,0.0001596914,0.00006299838,0.01386623,0.07524569,0.2113913,0.00002238998,0.0001276003,0.5904552],"study_design_scores_gemma":[0.001231536,0.00006034633,0.02135071,0.001064668,0.00000915901,0.000005922897,0.0000408545,0.9390928,0.03670774,0.000006624764,0.00007826792,0.0003513441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988602,0.008225886,0.001606343,0.000009675618,0.00007264547,0.0009812191,0.00004832415,0.0001234631,0.000330414],"genre_scores_gemma":[0.9814844,0.0001348369,0.01809657,0.000007560739,0.00001739723,0.0000793534,0.00008312566,0.00006528595,0.00003151145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8638471,"threshold_uncertainty_score":0.9999071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06277170921437993,"score_gpt":0.2940976134224457,"score_spread":0.2313259042080658,"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."}}