{"id":"W3072768242","doi":"10.1175/mwr-d-20-0085.1","title":"On the Progressive Attenuation of Finescale Orography Contributions to the Vertical Coordinate Surfaces within a Terrain-Following Coordinate System","year":2020,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Orography; Terrain; Coordinate system; Attenuation; Geology; Meteorology; Spurious relationship; Cartesian coordinate system; Scale (ratio); Precipitation; Geodesy; Climatology; Computer science; Geometry; Physics; Geography; Mathematics; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008564384,0.0001557682,0.0003644458,0.00002061373,0.0002861668,0.0000414592,0.0003297183,0.00003967302,0.000366118],"category_scores_gemma":[0.0006986813,0.00007001812,0.0001970208,0.000613848,0.00007922383,0.00006190106,0.0000199226,0.0001527546,0.0001728817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006319623,"about_ca_system_score_gemma":0.000022018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008691063,"about_ca_topic_score_gemma":0.00005965467,"domain_scores_codex":[0.9983353,0.0004887229,0.0004121285,0.0002414591,0.0003008873,0.0002214951],"domain_scores_gemma":[0.998813,0.000594534,0.0001120282,0.000253521,0.00009128774,0.0001355828],"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":[0.001509932,0.0008189695,0.3240279,0.006941025,0.002847716,0.0002678162,0.01830435,0.3744156,0.0009043248,0.09168711,0.06499523,0.1132801],"study_design_scores_gemma":[0.003632305,0.006547124,0.3920519,0.01548175,0.002723305,0.00001554896,0.003243624,0.4137164,0.000436081,0.006171374,0.153516,0.002464514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8652546,0.05302914,0.0003422262,0.07331134,0.0002418666,0.003269691,0.0004244517,0.0001040611,0.00402255],"genre_scores_gemma":[0.9960549,0.00007441869,0.00005066382,0.00368116,0.00003834699,0.0000364458,0.0000401413,0.00000416214,0.00001974772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308002,"threshold_uncertainty_score":0.4008736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516690637021442,"score_gpt":0.2564737188004821,"score_spread":0.2313068124302677,"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."}}