{"id":"W4205301998","doi":"10.1029/2021jd035457","title":"Multi‐Season Evaluation of CO <sub>2</sub> Weather in OCO‐2 MIP Models","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"NASA Headquarters; Pennsylvania State University; Ames Research Center; Jet Propulsion Laboratory; Nuclear Safety and Security Commission; Texas Tech University; Langley Research Center; University of Pennsylvania; National Aeronautics and Space Administration; California Institute of Technology; Goddard Space Flight Center; Oak Ridge National Laboratory; Universities Space Research Association; Colorado State University","keywords":"Environmental science; Troposphere; Latitude; Climatology; Inversion (geology); Atmospheric sciences; Boundary layer; Observatory; Meteorology; Planetary boundary layer; Geology; Geography; Geodesy","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":[0.001948016,0.001525792,0.0006276305,0.0004495753,0.0004156102,0.0009522294,0.001359387,0.0008292546,0.0009087429],"category_scores_gemma":[0.002930731,0.0003796726,0.0006835946,0.0004878457,0.000465053,0.0007565785,0.0006287412,0.0007746738,0.000129093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228615,"about_ca_system_score_gemma":0.0009934107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07459959,"about_ca_topic_score_gemma":0.04146191,"domain_scores_codex":[0.9996172,0.0001445173,0.00003049195,0.00006646937,0.00006165395,0.00007967757],"domain_scores_gemma":[0.9982926,0.0006703618,0.0002122413,0.0002323141,0.0003863125,0.0002062744],"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":[0.0003256508,0.0002679635,0.0370578,0.00004544607,0.0001956425,0.00006476972,0.00005094807,0.9542642,0.001764485,0.0003732781,0.001242717,0.004347126],"study_design_scores_gemma":[0.00004959374,0.0001087549,0.005836359,0.000006717648,0.00003137763,0.000009340025,0.00003950207,0.9923381,0.001140846,0.00008486629,0.0003426662,0.00001184417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925354,0.00008219496,0.002098761,0.0001888703,0.00004113785,0.00005633644,0.001384717,0.0004645247,0.003148159],"genre_scores_gemma":[0.9956717,0.00003872742,0.002656962,0.00007225002,0.00001234323,0.00003720141,0.001166052,0.00006173145,0.000282918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07459959,"threshold_uncertainty_score":0.1483307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04517549656829777,"score_gpt":0.3205654220898984,"score_spread":0.2753899255216006,"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."}}