{"id":"W7037001970","doi":"","title":"Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) X<sub>CO<sub>2</sub></sub> measurements with TCCON","year":2017,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Journalism and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eurostars; Jet Propulsion Laboratory; Université de La Réunion; Canadian Space Agency; Nova Scotia Research Innovation Trust; Max-Planck-Gesellschaft; Canadian Foundation for Climate and Atmospheric Sciences; Government of Canada; Ontario Innovation Trust; National Aeronautics and Space Administration; California Institute of Technology; U.S. Department of Energy","keywords":"Atmosphere (unit); Residual; Carbon fibers; Aerosol; Carbon dioxide; Systematic error; Calibration","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009115319,0.0008115992,0.00123193,0.000194374,0.002325284,0.001453878,0.002250464,0.0003889414,0.00004424423],"category_scores_gemma":[0.0007209689,0.0006216893,0.0004194879,0.0005167038,0.001483829,0.003770655,0.0008767114,0.0007464303,0.00008864761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621543,"about_ca_system_score_gemma":0.0009013384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001164563,"about_ca_topic_score_gemma":0.001229815,"domain_scores_codex":[0.9935937,0.000353152,0.001115419,0.0009302738,0.002409397,0.001598052],"domain_scores_gemma":[0.9959881,0.0004561633,0.001423243,0.001246394,0.0002350733,0.000651059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004200354,0.0005816069,0.8803682,0.0002886437,0.0006762892,0.0001761543,0.006670622,0.00001980911,0.01798178,0.004752127,0.08286099,0.005203725],"study_design_scores_gemma":[0.004551002,0.0005271106,0.5439718,0.002384955,0.0004536654,0.00004963318,0.00401009,0.000087086,0.03875011,0.003153026,0.3994506,0.00261094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7706659,0.001982513,0.000005211303,0.00198937,0.001527682,0.0008744668,0.0006686219,0.0002629503,0.2220233],"genre_scores_gemma":[0.9959981,0.0004867106,0.0001060254,0.0004575862,0.001468961,0.00007079602,0.0001393188,0.0001329078,0.001139583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3363965,"threshold_uncertainty_score":0.9996234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0537347105026845,"score_gpt":0.2582843943857555,"score_spread":0.204549683883071,"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."}}