{"id":"W2012508186","doi":"10.1127/0941-2948/2001/0010-0091","title":"Impact of profile observations on the German Weather Service's NWP system","year":2001,"lang":"en","type":"article","venue":"Meteorologische Zeitschrift","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Agentur für Raumfahrtangelegenheiten","keywords":"Meteorology; German; National weather service; Numerical weather prediction; Environmental science; Service (business); Weather prediction; Climatology; Geography; Geology; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008163221,0.0002365092,0.0003281987,0.00009252861,0.000322707,0.00004414377,0.0005253088,0.0001511454,0.007424286],"category_scores_gemma":[0.0002000273,0.0001186239,0.0002056166,0.0006899391,0.0001164412,0.0001605235,0.00002625771,0.0002744252,0.0008253584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002855671,"about_ca_system_score_gemma":0.00005389424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383479,"about_ca_topic_score_gemma":0.000280119,"domain_scores_codex":[0.9980882,0.0004097218,0.0004162327,0.0003213485,0.0003314674,0.0004329944],"domain_scores_gemma":[0.998042,0.0009191766,0.000200247,0.0005745692,0.0001293052,0.0001346728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000268613,0.0001222529,0.9296775,0.0000274168,0.0002094637,0.00001514206,0.0004074247,0.04235623,0.0008222117,0.02064332,0.001271719,0.004178708],"study_design_scores_gemma":[0.000285859,0.000610883,0.9593661,0.00001295069,0.00004101936,0.000008094155,0.0001031755,0.0308417,0.00004244055,0.0002508838,0.008262402,0.0001744456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126293,0.0001418642,0.0002090454,0.001034302,0.0001380489,0.0004504526,0.0001350422,0.0001118586,0.0851501],"genre_scores_gemma":[0.9979678,0.0000125501,0.0007399198,0.0006571633,0.0001130506,0.00001272654,0.0001041447,0.000007122253,0.0003855109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08533853,"threshold_uncertainty_score":0.9999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05872054357404188,"score_gpt":0.2742026385011888,"score_spread":0.2154820949271469,"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."}}