{"id":"W2943321341","doi":"10.3334/ornldaac/1658","title":"ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017","year":2019,"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":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Atmospheric sciences; Climatology; Arctic; Oceanography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008340694,0.0002723708,0.0002927121,0.000006346678,0.0001272954,0.0000260844,0.0002347061,0.0001356857,0.0003219125],"category_scores_gemma":[0.0001091382,0.0002750768,0.0001066042,0.0002015303,0.000653615,0.000274691,0.0001853875,0.0001948969,0.00003106734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006192228,"about_ca_system_score_gemma":0.00005880692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001138141,"about_ca_topic_score_gemma":0.00002103931,"domain_scores_codex":[0.9982596,0.00005077523,0.0003504239,0.0005278158,0.0004350808,0.0003763177],"domain_scores_gemma":[0.9989808,0.000276698,0.0002650041,0.0002004466,0.00007692669,0.0002001213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004150048,0.0006987655,0.9107667,0.00005040057,0.0002063165,0.000001839104,0.0001276341,0.003314827,0.07303222,0.005183415,0.0055522,0.0006506339],"study_design_scores_gemma":[0.003636164,0.0002558064,0.6134194,0.00008152916,0.0001128902,0.000005598672,0.0006026967,0.2255774,0.01337022,0.008957336,0.1330732,0.0009076949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5550229,0.00002010491,0.00147089,0.000100809,0.00006384057,0.0004039814,0.4425102,0.00001714444,0.000390103],"genre_scores_gemma":[0.6352498,0.00008019211,0.01271313,0.0002334618,0.00004297565,0.00006539992,0.3515742,0.0000279055,0.00001289406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2973473,"threshold_uncertainty_score":0.9999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004815101359853789,"score_gpt":0.2185076327285906,"score_spread":0.2136925313687368,"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."}}