{"id":"W1789155650","doi":"10.1038/nature14956","title":"The quiet revolution of numerical weather prediction","year":2015,"lang":"en","type":"review","venue":"Nature","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2677,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Numerical weather prediction; Weather prediction; Meteorology; QUIET; Global Forecast System; Scientific progress; Computer science; Climatology; Environmental science; 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":[0.001832578,0.001097695,0.00103809,0.001444199,0.0003624681,0.001829278,0.001565123,0.001723415,0.005074146],"category_scores_gemma":[0.005367742,0.0004006235,0.0004007163,0.002553082,0.001508809,0.003493275,0.001683981,0.002621465,0.001647822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009194437,"about_ca_system_score_gemma":0.003077641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003474017,"about_ca_topic_score_gemma":0.004405368,"domain_scores_codex":[0.9995178,0.0001230993,0.00004336176,0.0000711397,0.0002090912,0.00003553972],"domain_scores_gemma":[0.9977284,0.001451119,0.0001606272,0.0001053909,0.0004299858,0.0001244407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005392177,0.00004982504,0.0003010376,0.008781141,0.0000812708,0.0000612959,0.00008267196,0.003487248,0.0004794763,0.04643737,0.07125609,0.8689286],"study_design_scores_gemma":[0.00001098328,0.00002571777,0.0003042071,0.002811756,0.00004775566,0.00007175993,0.00003808768,0.0008402232,0.0002099232,0.02264747,0.9729715,0.00002062897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001420441,0.9918406,0.001598839,0.001917685,0.001470955,0.000005405927,0.00004764269,0.00002994158,0.002946831],"genre_scores_gemma":[0.002348826,0.9934558,0.0009193025,0.0008035944,0.001407254,0.000008564446,0.00007143823,0.00001485388,0.0009703687],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005074146,"threshold_uncertainty_score":0.01697469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839469843011353,"score_gpt":0.295366927521524,"score_spread":0.2569722290914105,"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."}}