{"id":"W3035558958","doi":"","title":"Assimilation of ozone using the Environment Canada global NWP model","year":2012,"lang":"en","type":"article","venue":"AGUFM","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meteorology; Data assimilation; Environmental science; Ozone; Climatology; Atmospheric sciences; Geography; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.00006102614,0.00004468487,0.00004799099,2.866731e-7,0.00006232282,0.000003854388,0.00006648761,0.00001920365,0.0004331892],"category_scores_gemma":[0.000004820336,0.00002995475,0.0000142366,0.00003368301,0.00002840792,0.00006497584,0.00000560906,0.00002881643,0.000003885411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000114172,"about_ca_system_score_gemma":0.00006422009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2219169,"about_ca_topic_score_gemma":0.04446938,"domain_scores_codex":[0.9995998,0.000009260589,0.00007710901,0.00005106042,0.0001366154,0.0001262034],"domain_scores_gemma":[0.9998036,0.00001792053,0.00004408657,0.00008821319,0.000003559231,0.00004260337],"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":[0.000003293847,0.000008639103,0.3479116,0.000004697048,0.000007318645,3.358316e-7,0.00005507375,0.6497214,0.0005563933,0.00001788196,0.0001760367,0.001537278],"study_design_scores_gemma":[0.0001090324,0.00001064065,0.2285928,0.000007277797,0.00002422991,0.000006425464,0.00018646,0.7658166,0.00375525,0.0001554342,0.001205776,0.0001301683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941921,0.0002832613,0.001568344,0.0001004065,0.00006950716,0.00003238903,0.00004272409,0.000002840011,0.003708393],"genre_scores_gemma":[0.9983751,0.000006078485,0.001392074,0.00008220848,0.0000493953,1.116035e-7,0.00001454967,6.236538e-7,0.00007992222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1774475,"threshold_uncertainty_score":0.9729666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157621237802155,"score_gpt":0.2010905243580843,"score_spread":0.1795143119800627,"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."}}