{"id":"W2904980396","doi":"10.1002/qj.3455","title":"An efficient semi‐implicit temporal scheme for boundary‐layer vertical diffusion","year":2018,"lang":"en","type":"article","venue":"Quarterly Journal of the Royal Meteorological Society","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diffusion; Nonlinear system; Stability (learning theory); Scheme (mathematics); Diagonal; Applied mathematics; Mathematics; Term (time); Boundary layer; Boundary (topology); Computer science; Mathematical analysis; Mechanics; Geometry; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001798584,0.000240973,0.0005400647,0.00002470226,0.0005208626,0.0001221211,0.0006587247,0.000257727,0.0002536998],"category_scores_gemma":[0.0005965997,0.0001259309,0.0009515084,0.0001897807,0.0004030248,0.00007386549,0.00006319465,0.0004490282,0.000006943485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008814811,"about_ca_system_score_gemma":0.00005778449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006763004,"about_ca_topic_score_gemma":0.000001859299,"domain_scores_codex":[0.9974733,0.0004759205,0.0007901661,0.000260121,0.0005508942,0.0004495941],"domain_scores_gemma":[0.9976996,0.0008986281,0.0003556607,0.0003906447,0.0003890119,0.0002664973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008312388,0.02357971,0.0143289,0.0005661261,0.00316581,0.00002768938,0.01770046,0.0005156482,0.3950535,0.1778114,0.05097445,0.3079639],"study_design_scores_gemma":[0.005863776,0.03233266,0.0203268,0.0001742079,0.000942461,0.00007094559,0.00165002,0.3692284,0.007576055,0.5499393,0.01084318,0.00105219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6693922,0.00002596874,0.329116,0.0006412784,0.0005085317,0.0002149496,0.000006611994,0.00002532085,0.00006907037],"genre_scores_gemma":[0.8459753,8.151613e-7,0.1528395,0.0003896521,0.0006999207,0.00001118662,9.66236e-7,0.0000211541,0.00006142678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3874775,"threshold_uncertainty_score":0.5135314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05002572745032345,"score_gpt":0.3533733294143087,"score_spread":0.3033476019639852,"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."}}