{"id":"W2015718475","doi":"10.1155/2013/971501","title":"An Observing System Simulation Experiment for the Impact of MTG Candidate Infrared Sounding Mission on Regional Forecasts: System Development and Preliminary Results","year":2013,"lang":"en","type":"article","venue":"ISRN Meteorology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"European Organization for the Exploitation of Meteorological Satellites; National Science Foundation","keywords":"MM5; Environmental science; Meteorology; Weather Research and Forecasting Model; Depth sounding; Data assimilation; Quantitative precipitation forecast; Climatology; Geostationary orbit; Precipitation; Forecast skill; Satellite; Atmospheric sciences; Geography; Geology","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":[0.004416701,0.0005288858,0.0004000203,0.0002370596,0.000429948,0.0004541129,0.0006375168,0.0004943475,0.0007725912],"category_scores_gemma":[0.004448728,0.0002394658,0.0004545925,0.0003235666,0.0003975669,0.0006012769,0.0006404555,0.0007548954,0.00008636497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044949,"about_ca_system_score_gemma":0.0008604197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145308,"about_ca_topic_score_gemma":0.008044184,"domain_scores_codex":[0.9989588,0.0005777536,0.00005312609,0.0001436222,0.0001274938,0.0001391349],"domain_scores_gemma":[0.9961454,0.002335759,0.0002800027,0.0003866857,0.0005926587,0.0002594471],"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":[0.002668499,0.002680845,0.04062413,0.00006807269,0.0001108762,0.0001371168,0.0001927861,0.9245473,0.01196211,0.001627031,0.0008847945,0.01449646],"study_design_scores_gemma":[0.0009201876,0.002583796,0.0119724,0.000004192216,0.00004988768,0.00001171836,0.00007728487,0.9725271,0.01092725,0.0003929104,0.0005044658,0.00002884968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913973,0.0000182344,0.006811973,0.00005505661,0.00001328762,0.0002617057,0.000366122,0.0001431007,0.000933307],"genre_scores_gemma":[0.9871836,0.00001389794,0.01152235,0.00001688735,0.000005247711,0.0002512624,0.0007572611,0.00001277452,0.0002367554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01145308,"threshold_uncertainty_score":0.02335805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0644207028405657,"score_gpt":0.2997706920435285,"score_spread":0.2353499892029628,"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."}}