{"id":"W2784720411","doi":"10.3334/ornldaac/1402","title":"CARVE: L2 Merged Atmospheric CO2, CO, O3 and CH4 Concentrations, Alaska, 2012-2015","year":2016,"lang":"en","type":"article","venue":"Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Atmospheric sciences; Meteorology; Climatology; Geology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003459152,0.0005989807,0.0003590836,0.001102272,0.0005858612,0.000620752,0.0004893727,0.000393209,0.002078013],"category_scores_gemma":[0.0003804751,0.0002666871,0.0003699385,0.001276771,0.0001737176,0.0006493308,0.0003930924,0.0002848344,0.001046824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006118267,"about_ca_system_score_gemma":0.00101867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1534617,"about_ca_topic_score_gemma":0.2550717,"domain_scores_codex":[0.9998088,0.00001395758,0.00001087455,0.00007064659,0.0000695817,0.00002616884],"domain_scores_gemma":[0.9996578,0.00002116177,0.00004010173,0.00005823499,0.0001830348,0.00003969596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002281526,0.0005604137,0.7377729,0.000734516,0.001536747,0.0006743972,0.0009487294,0.0399116,0.02879856,0.0008949888,0.1333556,0.05253007],"study_design_scores_gemma":[0.0001412969,0.0001707517,0.8903543,0.00007905083,0.0002042986,0.0001771752,0.0006529,0.01576491,0.01415698,0.0003227912,0.07787184,0.0001037215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6479248,0.000379064,0.001558498,0.000101777,0.00007649402,0.00005449541,0.3382636,0.001792815,0.009848642],"genre_scores_gemma":[0.6526774,0.0001787837,0.00381528,0.00006687555,0.00004140842,0.00008523092,0.3398191,0.0001838174,0.003132288],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1534617,"threshold_uncertainty_score":0.3051369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004631832839469606,"score_gpt":0.2243435883805432,"score_spread":0.2197117555410736,"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."}}