{"id":"W4236653673","doi":"10.1002/9781118445112.stat07911","title":"Data Assimilation","year":2017,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Data assimilation; Kalman filter; Computer science; Monte Carlo method; State space; Ensemble Kalman filter; Particle filter; Algorithm; Meteorology; Extended Kalman filter; Mathematics; Statistics; Artificial intelligence; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002326124,0.0003842518,0.0005031104,0.0001774995,0.0002539217,0.0001556586,0.001405013,0.0003287791,0.03971141],"category_scores_gemma":[0.0004907548,0.00030423,0.00002623066,0.0000887624,0.0002364497,0.0001533543,0.0001082962,0.0004554318,0.0008867091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007739568,"about_ca_system_score_gemma":0.000186497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199208,"about_ca_topic_score_gemma":0.03955536,"domain_scores_codex":[0.9977808,0.0001247469,0.0003694256,0.0007645493,0.0005214972,0.0004389621],"domain_scores_gemma":[0.9969875,0.0003113851,0.0005818403,0.001789814,0.00007438193,0.0002550367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001876043,0.0000485599,0.003543171,0.00005379908,0.00006196044,0.00003222777,0.000008652983,0.0002371914,5.632021e-7,0.001125282,0.8445959,0.1502739],"study_design_scores_gemma":[0.0002500771,0.0001096402,0.01750619,0.000121838,0.00007755717,0.000001621194,0.000007089536,0.03183255,4.927653e-8,0.007500799,0.9421823,0.0004102605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001795554,0.001588627,0.03491061,0.00008547994,0.0007920761,0.0003619995,0.4126147,0.0001993073,0.5494292],"genre_scores_gemma":[0.00240762,0.004294063,0.1681543,0.0002383773,0.0008430918,0.000001900092,0.3458238,0.0001113819,0.4781255],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1498637,"threshold_uncertainty_score":0.999941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.166884838243291,"score_gpt":0.34716213620065,"score_spread":0.180277297957359,"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."}}