{"id":"W2119103920","doi":"","title":"Global Monthly CO2 Flux Inversion Based on Results of Terrestrial Ecosystem Modeling","year":2008,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Inversion (geology); Climatology; Atmospheric sciences; Planetary boundary layer; Meteorology; Geography; Geology","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":[0.0004842205,0.0004581541,0.0003819875,0.0003356297,0.0001695901,0.0003675787,0.0003379572,0.0002748079,0.001062731],"category_scores_gemma":[0.001089555,0.000181579,0.000356405,0.000574887,0.0001226528,0.0006408555,0.0002440677,0.0003142821,0.000248855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515858,"about_ca_system_score_gemma":0.0005287381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368419,"about_ca_topic_score_gemma":0.01567498,"domain_scores_codex":[0.9998804,0.00002858943,0.000006406814,0.00003885672,0.00003180995,0.00001385764],"domain_scores_gemma":[0.9997931,0.00004883152,0.0000162298,0.00005162105,0.00007278714,0.00001742141],"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":[0.0001602425,0.0001132155,0.02931424,0.00005899867,0.0001308329,0.0000569133,0.00006277046,0.8852496,0.02680017,0.001862267,0.00129059,0.0549002],"study_design_scores_gemma":[0.00001665848,0.00001065547,0.00710103,0.000002037293,0.00001070236,0.00000859702,0.000005392694,0.987938,0.003868783,0.0005806397,0.0004493893,0.000008118958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83026,0.0001610347,0.1545644,0.0001516286,0.00004266034,0.00005841106,0.003566252,0.002587955,0.008607741],"genre_scores_gemma":[0.9278628,0.00005635505,0.06818085,0.00001916499,0.000008774908,0.00003745766,0.003090125,0.0002237876,0.0005205979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01368419,"threshold_uncertainty_score":0.02720904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541119504130984,"score_gpt":0.2067252291205069,"score_spread":0.1913140340791971,"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."}}