{"id":"W4200015552","doi":"10.1017/rdc.2021.102","title":"RADIOCARBON IN GLOBAL TROPOSPHERIC CARBON DIOXIDE","year":2021,"lang":"en","type":"article","venue":"Radiocarbon","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Agencia Estatal de Meteorología; European Commission","keywords":"Biosphere; Radiocarbon dating; Troposphere; Carbon dioxide; Environmental science; Carbon cycle; Atmosphere (unit); Carbon dioxide in Earth's atmosphere; Carbon fibers; Atmospheric sciences; Climatology; Earth science; Geology; Meteorology; Chemistry; Geography; Physics; Paleontology; Ecology; Materials science; Ecosystem","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001543986,0.0003125551,0.000350774,0.000005341947,0.00005168434,0.00002235865,0.0002810938,0.0001680723,0.0005217866],"category_scores_gemma":[0.00003061338,0.0003332816,0.0001195515,0.0007862746,0.0002293565,0.0001239906,0.0002544217,0.0002362393,0.00007880445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742574,"about_ca_system_score_gemma":0.00003174561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002204733,"about_ca_topic_score_gemma":0.0005444769,"domain_scores_codex":[0.9977205,0.000122962,0.0003689358,0.0006854997,0.0004723199,0.0006297922],"domain_scores_gemma":[0.9991478,0.00002465304,0.00008325573,0.0005336128,0.000002655645,0.0002080404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004323803,0.0002596844,0.8963143,0.000009307347,0.00002518653,0.0006481775,0.000170995,0.08195896,0.006942366,0.0003027199,0.00008429038,0.01324082],"study_design_scores_gemma":[0.001880818,0.0001526614,0.8886206,0.00003988725,0.00005792568,0.0002976041,0.0004402547,0.09771279,0.001447943,0.001989645,0.00637016,0.0009897259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151024,0.0007326544,0.000722478,0.0002292356,0.0003017345,0.0001573878,0.000001513432,0.00007762689,0.08267498],"genre_scores_gemma":[0.990665,0.0002524467,0.007110472,0.0003904045,0.00007020021,0.00002177373,0.000007641574,0.0000385742,0.001443476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0812315,"threshold_uncertainty_score":0.9999119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003586899533298545,"score_gpt":0.1912413408838635,"score_spread":0.1876544413505649,"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."}}