{"id":"W1989128584","doi":"10.1115/1.4023649","title":"Improvements to Common Data Reduction and Calibration Methods for Seven Hole Probes","year":2013,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extrapolation; Calibration; Polynomial; Sorting; Reduction (mathematics); Mathematics; Mathematical analysis; Algorithm; Applied mathematics; Statistics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002948056,0.00009995111,0.000153313,0.0001281679,0.0000261815,0.0000791025,0.0001514882,0.00003713644,0.000002620736],"category_scores_gemma":[0.000047063,0.00009826954,0.00002765831,0.00009756053,0.000003935679,0.000479075,0.00005424811,0.00009601015,5.523578e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005391133,"about_ca_system_score_gemma":0.00001125395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005286976,"about_ca_topic_score_gemma":7.526783e-7,"domain_scores_codex":[0.9993793,0.000008105222,0.000314377,0.00008937535,0.00008615014,0.0001226906],"domain_scores_gemma":[0.9996082,0.00005699386,0.00003318282,0.0001295611,0.00008445486,0.00008765739],"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":[0.000003414169,0.000008188655,0.00001728796,0.00007745378,0.00003826231,2.869734e-7,0.00008668574,0.626809,0.326845,0.0002496596,0.0005608008,0.04530393],"study_design_scores_gemma":[0.0001870668,0.00007072602,0.0007447933,0.0000413278,0.00001738969,0.00002064134,0.00002091211,0.9955894,0.002250177,0.0003057287,0.0006465431,0.0001053413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2920501,0.0002015969,0.7070008,0.0001121226,0.000409938,0.0001821376,0.0000100616,0.00002752524,0.000005744685],"genre_scores_gemma":[0.5539623,0.00004019436,0.4456685,0.00001473351,0.0002236644,0.00001310923,0.00002596387,0.00003218634,0.00001935588],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3687803,"threshold_uncertainty_score":0.4007316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471854865214263,"score_gpt":0.2832601373660823,"score_spread":0.2685415887139397,"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."}}