{"id":"W2165331576","doi":"10.1017/jfm.2011.119","title":"Lateral dispersion from a concentrated line source in turbulent channel flow","year":2011,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Turbulence; Physics; Reynolds number; Mechanics; Line source; Scalar (mathematics); Mean flow; Plume; Transverse plane; Thermodynamics; Optics; Geometry; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001512515,0.0002880004,0.0002191629,0.0006738552,0.0002635279,0.0004346162,0.0001836725,0.0002158372,0.000261092],"category_scores_gemma":[0.0004382931,0.0001689847,0.000170051,0.0003146365,0.000426096,0.0003946954,0.0005353063,0.0002149773,0.00007971199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004129495,"about_ca_system_score_gemma":0.0002416476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343191,"about_ca_topic_score_gemma":0.0008523754,"domain_scores_codex":[0.9998991,0.0000095995,0.000005047646,0.00002575897,0.00003784974,0.00002256248],"domain_scores_gemma":[0.9995936,0.00008173496,0.0001395402,0.00002380613,0.0001070859,0.00005430203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006599117,0.0001399529,0.02806571,0.00005466956,0.00003523046,0.0005382987,0.0004318674,0.03730316,0.9223348,0.0008510363,0.0001802004,0.009405176],"study_design_scores_gemma":[0.0002427903,0.001476839,0.2197961,0.00002745436,0.00007896082,0.0007207489,0.0004020124,0.3986556,0.3764286,0.001213135,0.0007669647,0.0001908528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973404,0.00002856409,0.002310169,0.000007047703,0.000001443662,0.00000363822,0.00002508378,0.00003661239,0.0002470242],"genre_scores_gemma":[0.9990554,0.00001695335,0.0007181425,0.0000036198,0.000003225986,0.000003646827,0.00005426436,0.000005290407,0.000139355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001343191,"threshold_uncertainty_score":0.002996206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275563735225448,"score_gpt":0.1860894393666648,"score_spread":0.1733338020144103,"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."}}