{"id":"W6942661636","doi":"10.14291/tccon.ggg2020.documentation.r1","title":"The Total Carbon Column Observing Network's GGG2020 Data Version: Data Quality, Comparison with GGG2014, and Future Outlook","year":2025,"lang":"en","type":"article","venue":"Caltech Library","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Column (typography); A priori and a posteriori; Carbon fibers; Work (physics); Carbon flux; Data set","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":[],"consensus_categories":[],"category_scores_codex":[0.0002230555,0.0001383383,0.0001876929,0.00000647976,0.000528745,0.0003070145,0.001202845,0.0000986329,0.0003911895],"category_scores_gemma":[0.00004532432,0.00004884506,0.00001988823,0.0003440157,0.00002579074,0.0005938953,0.001717004,0.0002977541,0.00001952783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005458443,"about_ca_system_score_gemma":0.00002951966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004375239,"about_ca_topic_score_gemma":0.0003614061,"domain_scores_codex":[0.9987897,0.0001396305,0.0002228182,0.0004453456,0.0001498624,0.0002526707],"domain_scores_gemma":[0.9976101,0.001727166,0.00008137844,0.0004751476,0.00001568638,0.00009052789],"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":[0.0002475962,0.00004274131,0.1661222,0.00002610264,0.00005763493,0.00000979789,0.00002185446,0.000009283178,0.0007962868,0.002572144,0.7990533,0.03104109],"study_design_scores_gemma":[0.00006280432,0.00007669082,0.0348512,0.00009037151,0.00003205748,0.00001340632,0.0005792897,0.005301139,0.00004901684,0.0003101116,0.9584715,0.0001624103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839122,0.02794456,0.00002323199,0.06760807,0.003032134,0.0009382418,0.01083643,0.0005188245,0.04997651],"genre_scores_gemma":[0.8907338,0.01161931,0.001349842,0.004098174,0.007902486,0.00003421577,0.06867644,0.00001040289,0.0155753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594182,"threshold_uncertainty_score":0.4283251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747287796784141,"score_gpt":0.2604449558648528,"score_spread":0.2229720778970114,"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."}}