{"id":"W2161514023","doi":"10.1029/2005gl025403","title":"Sensitivity of inverse estimation of annual mean CO<sub>2</sub> sources and sinks to ocean‐only sites versus all‐sites observational networks","year":2006,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Environmental science; Sensitivity (control systems); Flux (metallurgy); Range (aeronautics); Atmospheric sciences; Atmospheric models; Inverse; Climatology; Meteorology; Atmosphere (unit); Geology; Mathematics; Geography; Chemistry","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":[0.01010006,0.0004239932,0.0004227539,0.0007977772,0.0002293735,0.001081024,0.0005452803,0.0007507792,0.0007051052],"category_scores_gemma":[0.05806276,0.000423407,0.0005882157,0.0006042416,0.0007190285,0.001159686,0.00137499,0.0007240691,0.0002139008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000782643,"about_ca_system_score_gemma":0.0004286673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01341549,"about_ca_topic_score_gemma":0.00482035,"domain_scores_codex":[0.9961957,0.002191962,0.0001800161,0.0008378421,0.0004279024,0.0001666269],"domain_scores_gemma":[0.9525914,0.0382567,0.002563442,0.003736799,0.002484817,0.0003667752],"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":[0.00196134,0.0000866248,0.4141175,0.0001473997,0.0009767994,0.0002281033,0.0003803666,0.5285128,0.01059508,0.001867125,0.001051779,0.04007498],"study_design_scores_gemma":[0.00007102393,0.0001864587,0.3329218,0.00005637181,0.0002983154,0.0004548192,0.0002795428,0.6400998,0.0203112,0.003791637,0.001425603,0.0001033904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745866,0.0002282097,0.02177561,0.0002595246,0.00003264972,0.00002795525,0.0007459722,0.0002252975,0.002118181],"genre_scores_gemma":[0.9963332,0.00005448729,0.00248504,0.00006446763,0.000009562129,0.000009900149,0.0008098551,0.0000351636,0.0001982356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01341549,"threshold_uncertainty_score":0.05341488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329528597379148,"score_gpt":0.2661233306599309,"score_spread":0.2428280446861394,"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."}}