{"id":"W2150918181","doi":"10.1175/2010mwr3424.1","title":"Observability of Flow-Dependent Structure Functions for Use in Data Assimilation","year":2010,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Data assimilation; Observability; Assimilation (phonology); Sensitivity (control systems); Initial value problem; Instability; Exponential growth; Computer science; Mathematics; Meteorology; Applied mathematics; Physics; Mathematical analysis; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005575002,0.00008920327,0.0002397254,0.00002457702,0.00005206891,0.0000159382,0.0002530995,0.00006187974,0.003471818],"category_scores_gemma":[0.0004641218,0.00006102243,0.00004845627,0.0001437236,0.00003300633,0.000276704,0.00001694824,0.0001365951,0.00001150044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002065392,"about_ca_system_score_gemma":0.00002380694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002968966,"about_ca_topic_score_gemma":0.02122662,"domain_scores_codex":[0.9990693,0.00008531073,0.0003315547,0.0002588819,0.0001270076,0.0001279624],"domain_scores_gemma":[0.9988835,0.0003130898,0.00008954189,0.0006163206,0.00004477591,0.0000527352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003373636,0.00005842259,0.8729525,0.0004758261,0.00001768939,6.742984e-7,0.00003969655,0.01209524,0.000107186,0.00008654873,0.0009202948,0.1132122],"study_design_scores_gemma":[0.0001996586,0.00004268726,0.8622764,0.0000794252,0.00004691734,3.264677e-7,0.000004571997,0.07910763,0.000002723293,0.001935652,0.05620041,0.0001036512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667209,0.01897615,0.001135529,0.001084831,0.0006747679,0.00226061,0.007441042,0.00004241937,0.001663788],"genre_scores_gemma":[0.9892355,0.000426124,0.007983487,0.0003272962,0.0000539358,0.000005625337,0.001849974,0.000003322997,0.0001147125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131086,"threshold_uncertainty_score":0.9974391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048853609462783,"score_gpt":0.287076636236536,"score_spread":0.1821912752902577,"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."}}