{"id":"W2076546171","doi":"10.5194/acpd-13-26529-2013","title":"Atmospheric inversion of the surface CO<sub>2</sub> flux with <sup>13</sup>CO<sub>2</sub> constraint","year":2013,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Oceanic and Atmospheric Administration; Ministry of Science and Technology of the People's Republic of China; Canadian Foundation for Climate and Atmospheric Sciences; U.S. Department of Energy","keywords":"Carbon flux; Atmospheric sciences; Environmental science; Flux (metallurgy); Inversion (geology); Sink (geography); Atmosphere (unit); Ecosystem; Climatology; Chemistry; Geology; Meteorology; Ecology; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000278564,0.00037088,0.0002292998,0.0001979783,0.0002846731,0.0005331495,0.0004666394,0.0002610875,0.002418343],"category_scores_gemma":[0.000785578,0.0001716005,0.0004127794,0.0006180056,0.0002321486,0.0003309396,0.0003079653,0.0005679111,0.0002479193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000787821,"about_ca_system_score_gemma":0.001623921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07239939,"about_ca_topic_score_gemma":0.08427263,"domain_scores_codex":[0.9998879,0.00001593448,0.000004818057,0.00004115574,0.00003007515,0.00002013074],"domain_scores_gemma":[0.9997504,0.00005336417,0.00003253989,0.00005208441,0.00008110551,0.00003042678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008421547,0.0002679467,0.181177,0.000171796,0.0004357646,0.0003026058,0.0001939055,0.5757856,0.150572,0.005410295,0.008258144,0.07658272],"study_design_scores_gemma":[0.0002326961,0.00007168874,0.1587443,0.00001522469,0.00009344484,0.00004940604,0.0001037509,0.7980226,0.03447846,0.0009515617,0.007173355,0.00006356603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579622,0.00006999035,0.02750375,0.0002639132,0.00009176329,0.00002767574,0.005359087,0.0006932323,0.008028249],"genre_scores_gemma":[0.9851762,0.00002909332,0.01068555,0.00004189422,0.00002173228,0.00001747424,0.003385241,0.00009659459,0.0005461836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07239939,"threshold_uncertainty_score":0.1439559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114498128888506,"score_gpt":0.2040695329523847,"score_spread":0.1926197200635341,"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."}}