{"id":"W2895836476","doi":"10.1175/mwr-d-18-0118.1","title":"Latent Heat Nudging in the Canadian Regional Deterministic Prediction System","year":2018,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Nowcasting; Precipitation; Extrapolation; Environmental science; Climatology; Meteorology; Troposphere; Snow; Radar; Computer science; Statistics; Mathematics; Geography; Geology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007199555,0.0003847239,0.0002575758,0.0003217483,0.0007535779,0.0008697548,0.0008608117,0.0002097725,0.0007067742],"category_scores_gemma":[0.001559941,0.0001363965,0.0002145383,0.0007138423,0.000264352,0.0002908635,0.0003419171,0.0004340719,0.0001132333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008941465,"about_ca_system_score_gemma":0.01270301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798279,"about_ca_topic_score_gemma":0.9702471,"domain_scores_codex":[0.9997532,0.00003990054,0.00000965105,0.00004551468,0.0001047646,0.00004695334],"domain_scores_gemma":[0.9996068,0.00004603023,0.00002480565,0.00002104505,0.0002703668,0.00003098131],"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":[0.0001456029,0.00003397205,0.02539225,0.0001091464,0.00006803315,0.00004697948,0.00008282543,0.9118763,0.001581629,0.003601475,0.004434487,0.05262724],"study_design_scores_gemma":[0.00002326015,0.00001509298,0.01480151,0.00001608281,0.00002414039,0.000005683639,0.00004184581,0.9789504,0.001013617,0.000432075,0.004647693,0.00002867262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255878,0.003171886,0.04145965,0.001897217,0.0002069637,0.0001071145,0.007741965,0.001381113,0.01844625],"genre_scores_gemma":[0.9880563,0.0005822167,0.007714339,0.00003443828,0.00001157549,0.00001574217,0.001651126,0.00003412794,0.00190008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02017206,"threshold_uncertainty_score":0.06487525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04944284347741894,"score_gpt":0.2430725634500841,"score_spread":0.1936297199726651,"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."}}