{"id":"W3051801039","doi":"10.5194/gmd-14-2525-2021","title":"The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations","year":2021,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Data assimilation; Spurious relationship; Environmental science; Kalman filter; Ensemble Kalman filter; Meteorology; Climatology; Computer science; Atmospheric sciences; Extended Kalman filter; Geography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250857,0.0004656248,0.0002370537,0.0001538307,0.0005475299,0.0003441567,0.0008076394,0.0005564449,0.001283302],"category_scores_gemma":[0.001591158,0.0001816149,0.0002343252,0.0002766839,0.0003685661,0.0003609983,0.000397718,0.0006073649,0.0002755535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267787,"about_ca_system_score_gemma":0.003299802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5886275,"about_ca_topic_score_gemma":0.5599148,"domain_scores_codex":[0.9997538,0.00007182868,0.00000830665,0.00004268093,0.00008602181,0.00003737506],"domain_scores_gemma":[0.9992235,0.0002119331,0.00002874126,0.00009258012,0.0003612294,0.00008207872],"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":[0.0009383195,0.000492244,0.04553927,0.0001486197,0.0001594909,0.0002904991,0.000286696,0.8639446,0.01282372,0.002785166,0.01389375,0.05869761],"study_design_scores_gemma":[0.0001524802,0.00009205626,0.009670055,0.000006114542,0.0000169316,0.00001313711,0.00003363971,0.9831278,0.005103693,0.0002304115,0.001536311,0.00001733567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9366816,0.0001700341,0.04393159,0.0008653185,0.0001881887,0.0002405116,0.002795472,0.004152719,0.01097449],"genre_scores_gemma":[0.9723294,0.0000466866,0.02468344,0.00006104256,0.0000088123,0.0000548074,0.001311059,0.000060745,0.001443973],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4113725,"threshold_uncertainty_score":0.8275904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804271537186541,"score_gpt":0.182013764144217,"score_spread":0.1639710487723516,"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."}}