{"id":"W2888816384","doi":"10.5194/bg-16-117-2019","title":"Global atmospheric CO <sub>2</sub> inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Center for Atmospheric Research; National Science Foundation","keywords":"Extratropical cyclone; Northern Hemisphere; Environmental science; Atmospheric sciences; Southern Hemisphere; Climatology; Coupled model intercomparison project; Inversion (geology); Annual cycle; Climate model; Climate change; Geology; Oceanography","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":[0.0007400556,0.0009327759,0.0004518836,0.0003011077,0.0003533624,0.0007812246,0.0009979911,0.0007860883,0.0008679107],"category_scores_gemma":[0.001406843,0.0003517822,0.0008918229,0.0004090647,0.0004835424,0.0008282287,0.000386397,0.0007150668,0.0001796016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007839301,"about_ca_system_score_gemma":0.00072508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06398704,"about_ca_topic_score_gemma":0.04569117,"domain_scores_codex":[0.9998659,0.00003926835,0.000007807117,0.00004619601,0.00001595884,0.00002487965],"domain_scores_gemma":[0.9995995,0.0001219733,0.00007262426,0.00006723536,0.00009301452,0.00004570384],"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":[0.0001124482,0.0000537615,0.02805528,0.00002597555,0.0001669006,0.00006317639,0.00003806318,0.9647309,0.002211765,0.001479429,0.0006291176,0.002433118],"study_design_scores_gemma":[0.00007353069,0.00003264893,0.01020954,0.00000701817,0.00005309036,0.0000193256,0.00003121123,0.9876301,0.0005500389,0.0009909499,0.0003856895,0.00001683128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910444,0.0001361005,0.003043782,0.0004055383,0.00003411396,0.00001245779,0.0008351285,0.0001209487,0.004367454],"genre_scores_gemma":[0.9973252,0.00005795926,0.001469368,0.00007147716,0.00001431183,0.00001034375,0.0006251415,0.00003149063,0.0003947692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06398704,"threshold_uncertainty_score":0.1272292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008236468320146888,"score_gpt":0.1971961011975027,"score_spread":0.1889596328773558,"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."}}