{"id":"W1984187785","doi":"10.1002/fld.366","title":"A Lagrangian–Eulerian model of particle dispersion in a turbulent plane mixing layer","year":2002,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Eulerian path; Turbulence; Mechanics; Dispersion (optics); Mixing (physics); Particle (ecology); Compressibility; Plane (geometry); Flow (mathematics); Physics; Lagrangian particle tracking; Classical mechanics; Mathematics; Statistical physics; Applied mathematics; Lagrangian; Geometry; Geology; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007873749,0.0001529066,0.0002757307,0.0002283013,0.00002501775,0.00003882801,0.0003941916,0.00009141718,0.0001037556],"category_scores_gemma":[0.0003318023,0.0001501016,0.0001380335,0.0002321798,0.00003568492,0.0002075339,0.00004488561,0.0003225436,0.000007419684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002959987,"about_ca_system_score_gemma":0.000009344161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000105387,"about_ca_topic_score_gemma":0.000004537063,"domain_scores_codex":[0.998403,0.0001117498,0.0006747696,0.0001633365,0.000318244,0.0003288877],"domain_scores_gemma":[0.9993,0.0003156456,0.00005513362,0.0001313794,0.0000866618,0.0001111702],"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":[0.0001292767,0.0002499748,0.002603586,0.00002461898,0.00008661266,0.00005072069,0.001123658,0.6423292,0.307677,0.002358816,0.0003555588,0.04301098],"study_design_scores_gemma":[0.001045192,0.00004742691,0.0004369597,0.00008153583,0.000008716359,0.00006085585,0.00004476732,0.983068,0.0122481,0.002380282,0.000421449,0.0001566557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4683245,0.0004124231,0.529557,0.0004058574,0.000854269,0.0001186401,0.00001556528,0.00003195385,0.0002796621],"genre_scores_gemma":[0.7277087,0.0001560436,0.2718642,0.0000646959,0.00009106352,0.00002139715,0.000002208866,0.00002912135,0.00006255489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3407389,"threshold_uncertainty_score":0.6120964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05862789456372354,"score_gpt":0.3594079195060756,"score_spread":0.3007800249423521,"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."}}