{"id":"W1987399146","doi":"10.1007/s007030050068","title":"Semi-Implicit Scheme for the DWD Lokal-Modell","year":2000,"lang":"en","type":"article","venue":"Meteorology and Atmospheric Physics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Grid; MM5; Mach number; Discretization; Computer science; Applied mathematics; Mathematics; Mesoscale meteorology; Meteorology; Geometry; Mathematical analysis; Physics; Mechanics","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":[0.000452062,0.0004116709,0.0008032041,0.0002658224,0.0005198318,0.001036019,0.001889535,0.001015017,0.006722321],"category_scores_gemma":[0.002030895,0.0004022994,0.0004782793,0.0004192027,0.0004883096,0.00139376,0.001460026,0.001567959,0.002127267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007524402,"about_ca_system_score_gemma":0.001532249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008208727,"about_ca_topic_score_gemma":0.007397953,"domain_scores_codex":[0.9997949,0.00006300042,0.00001698308,0.00002220409,0.00007584437,0.00002721857],"domain_scores_gemma":[0.9995078,0.0001389831,0.00004211125,0.0001311766,0.000133068,0.00004695807],"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":[0.0002495026,0.0001256664,0.001058666,0.0002260354,0.00007213606,0.0001100464,0.0001548568,0.8509374,0.009634514,0.06828793,0.006545561,0.06259776],"study_design_scores_gemma":[0.00003581662,0.000007707717,0.00005995759,0.000007645423,0.000004150585,0.000008390571,0.000006413439,0.9909586,0.0008270427,0.004492745,0.003583097,0.000008416151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02843872,0.0003598104,0.9552477,0.0003429402,0.0002042541,0.0001292693,0.001307934,0.0033503,0.01061907],"genre_scores_gemma":[0.459971,0.0003588918,0.5168952,0.0002746977,0.0000885046,0.0006613011,0.002192342,0.001523643,0.01803448],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008208727,"threshold_uncertainty_score":0.02248842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028659473952669,"score_gpt":0.2281065804952321,"score_spread":0.2078199857557054,"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."}}