{"id":"W2751607760","doi":"10.1002/2016ea000204","title":"Global and Brazilian Carbon Response to El Niño Modoki 2011–2010","year":2017,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"California Institute of Technology; Jet Propulsion Laboratory; Ames Research Center; National Aeronautics and Space Administration","keywords":"Carbon cycle; Primary production; Carbon flux; Environmental science; Flux (metallurgy); Atmospheric sciences; Carbon fibers; Productivity; Ecosystem; Biomass (ecology); Global change; Satellite; Climate change; Amazon basin; Climatology; Amazon rainforest; Physics; Chemistry; Ecology; Mathematics; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005037158,0.0001330488,0.0001067604,0.000007035106,0.0008064308,0.0001774339,0.0003903008,0.0000447059,0.0001153256],"category_scores_gemma":[0.00009085924,0.0001175238,0.00001549899,0.00009653251,0.001898441,0.0003868667,0.0006852666,0.00007053727,0.00009991214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006460396,"about_ca_system_score_gemma":0.00001910763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810986,"about_ca_topic_score_gemma":0.0005407398,"domain_scores_codex":[0.998654,0.0000206148,0.00008163982,0.0004886553,0.0003553276,0.0003997503],"domain_scores_gemma":[0.999009,0.00001270321,0.00005276552,0.0004705121,0.00000299558,0.0004520146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001372299,0.00002287934,0.9626344,0.000001955529,0.000001740979,0.00001538727,0.0004144428,0.002274766,0.01568366,0.0001126921,0.0001409751,0.0185599],"study_design_scores_gemma":[0.0001761502,0.000112085,0.9868495,0.000004301269,0.000003107937,0.00001702532,0.0001005728,0.009365297,0.0001682041,0.0002121943,0.002830644,0.0001608539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883589,0.0000332635,0.0004237788,0.002073716,0.0001608307,0.0001309152,0.000002823461,0.00001667261,0.008799092],"genre_scores_gemma":[0.9882792,0.00003529786,0.006177431,0.0002655439,0.0000164496,0.000002635559,1.036289e-7,0.000005119849,0.005218263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02421519,"threshold_uncertainty_score":0.6994883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004947747215922305,"score_gpt":0.2221380590995255,"score_spread":0.2171903118836032,"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."}}