{"id":"W2515472150","doi":"10.1007/s10546-016-0196-z","title":"Katabatic Flow: A Closed-Form Solution with Spatially-Varying Eddy Diffusivities","year":2016,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Prandtl number; Physics; Dimensionless quantity; Buoyancy; Froude number; Mathematical physics; Thermodynamics; Flow (mathematics); Mechanics; Convection","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":[0.0002194266,0.0003555893,0.0004088798,0.0002029536,0.0002067518,0.00007540694,0.0002396542,0.0001885189,0.0003346132],"category_scores_gemma":[0.00004577993,0.0002459518,0.00009755189,0.0001489093,0.0002130001,0.0003231646,0.00007887367,0.0002032114,0.0001625081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666907,"about_ca_system_score_gemma":0.00008951691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009734865,"about_ca_topic_score_gemma":0.0005893474,"domain_scores_codex":[0.9982488,0.00005520283,0.0003677345,0.0003595937,0.0002557797,0.0007129594],"domain_scores_gemma":[0.9990979,0.0001937438,0.00005962127,0.0004555528,0.00006120834,0.000131959],"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":[0.001608071,0.0006222104,0.013885,0.001029605,0.002725608,0.000635767,0.004928347,0.08408904,0.4624591,0.03448003,0.01103664,0.3825006],"study_design_scores_gemma":[0.005805304,0.001065802,0.008456594,0.0002086611,0.0002704907,0.0002990424,0.00002063196,0.9159198,0.003409919,0.006675709,0.05628477,0.001583256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706093,0.0007960194,0.1212185,0.000636126,0.001395241,0.0003782011,0.00007812316,0.0006022688,0.004286214],"genre_scores_gemma":[0.9928206,0.00012099,0.005839203,0.0001840018,0.0002627135,0.00008524246,0.00003471804,0.00009363772,0.000558942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8318308,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008871541269433042,"score_gpt":0.1981065336519481,"score_spread":0.189234992382515,"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."}}