{"id":"W3138063704","doi":"10.3390/rs13061048","title":"Correction: Hui, Y., et al. Spatio-Temporal Validation of AIRS CO2 Observations Using GAW, HIPPO and TCCON. Remote Sens. 2020, 12, 3583","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Institute for Research on Women and Gender, University of Michigan; Ministry of Business, Innovation and Employment; European Commission; National Natural Science Foundation of China; National Aeronautics and Space Administration; National Institute of Water and Atmospheric Research; National Center for Atmospheric Research","keywords":"Environmental science","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":[0.006043917,0.00380395,0.002896766,0.007214483,0.003511353,0.005507652,0.005595632,0.004120185,0.1382298],"category_scores_gemma":[0.07361825,0.001645375,0.003159342,0.008224837,0.001622191,0.003417728,0.003643301,0.007352318,0.07858901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003193319,"about_ca_system_score_gemma":0.008818525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04080952,"about_ca_topic_score_gemma":0.05069574,"domain_scores_codex":[0.993261,0.0008655315,0.001130302,0.0009451842,0.003164238,0.0006336326],"domain_scores_gemma":[0.9392368,0.006138371,0.003053493,0.004882874,0.04505884,0.001629647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002515902,0.000002969473,0.0001350051,0.0001900747,0.00002027118,0.00005094764,0.00002471206,0.00008374705,0.00006010901,0.0002707834,0.9961661,0.002970132],"study_design_scores_gemma":[0.000119272,0.00002505648,0.003670069,0.0006632748,0.0001174734,0.0003639848,0.0001974706,0.0009515486,0.0007383603,0.001886677,0.991147,0.0001198253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0007685086,0.001741115,0.004152801,0.0266277,0.9019405,0.0001060581,0.05533357,0.004740719,0.004589008],"genre_scores_gemma":[0.07082631,0.009638392,0.03609983,0.06550311,0.2071037,0.001536001,0.1997245,0.02469845,0.3848697],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1382298,"threshold_uncertainty_score":0.4624246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098935944333829,"score_gpt":0.2372033271508964,"score_spread":0.2162139677075581,"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."}}