{"id":"W2099872788","doi":"10.2514/6.2006-646","title":"Measurements of wall shear stress of an offset attaching planar jet with co-flow","year":2006,"lang":"en","type":"article","venue":"44th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shear stress; Offset (computer science); Materials science; Planar; Jet (fluid); Shear (geology); Mechanics; Structural engineering; Composite material; Computer science; Physics; Engineering","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":[0.0006739003,0.0001763487,0.0002576678,0.0001005771,0.0001540426,0.00005726644,0.0001921927,0.00005532398,0.000004175413],"category_scores_gemma":[0.00001415896,0.0001391915,0.00003438589,0.0002367296,0.0002061453,0.0001984025,0.00001752554,0.0001020176,7.796085e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001858985,"about_ca_system_score_gemma":0.00002794025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092325,"about_ca_topic_score_gemma":0.0008399424,"domain_scores_codex":[0.9986159,0.00003423685,0.0002672496,0.0002661452,0.0004980362,0.0003184378],"domain_scores_gemma":[0.9995772,0.00003606113,0.00007978708,0.0001727942,0.00005115908,0.00008299702],"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":[0.00001784421,0.00005144319,0.2343974,0.0001617863,0.00001879389,0.000002486912,0.0004118831,0.7476024,0.01664122,0.0001005712,0.000176646,0.0004174462],"study_design_scores_gemma":[0.000743944,0.0003939279,0.01895993,0.000546525,0.00003300789,0.000008585906,0.000225621,0.9426308,0.03596272,0.0000387767,0.00008490725,0.0003712051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938934,0.0003743948,0.0002082576,0.00004180113,0.00008234136,0.0001052654,0.00003496191,0.00006518895,0.005194409],"genre_scores_gemma":[0.9909813,0.00001872476,0.008884808,0.000009979023,0.00003495352,0.000002659203,0.0000192866,0.00001684918,0.00003143003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2154375,"threshold_uncertainty_score":0.5676065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323835990142551,"score_gpt":0.2247472059763522,"score_spread":0.2115088460749266,"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."}}