{"id":"W4394296386","doi":"10.6084/m9.figshare.22147283","title":"Dataset for paper \"Overestimated nitrogen loss from denitrification for natural terrestrial ecosystems in CMIP6 Earth System Models\" authored by Feng et al. (2023) (https://doi.org/10.1038/s41467-023-38803-z)","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Environmental science; Denitrification; Earth (classical element); Ecosystem; Natural (archaeology); Nitrogen; Earth system science; Earth science; Ecology; Geology; Chemistry; Geography; Oceanography; Biology; Mathematics; Archaeology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005334807,0.0008388953,0.0009604131,0.00007909312,0.0004647646,0.0005726294,0.002056231,0.0009284665,0.002497666],"category_scores_gemma":[0.00145551,0.0003962746,0.0003195363,0.0008550819,0.00002977657,0.0008157784,0.000374494,0.0008299058,0.005823406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344917,"about_ca_system_score_gemma":0.0001160929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004154603,"about_ca_topic_score_gemma":0.008542065,"domain_scores_codex":[0.9949341,0.0003303987,0.001051596,0.001757201,0.0008745373,0.001052148],"domain_scores_gemma":[0.9960903,0.002039076,0.0008870517,0.0004386495,0.000233521,0.0003114209],"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":[0.0002103947,0.00006722477,0.000006723918,0.0002156907,0.00005598115,0.00002468166,0.00001047744,0.00006831846,0.0006295932,0.000003041763,0.9986054,0.0001024439],"study_design_scores_gemma":[0.0007835496,0.0001374778,0.0002991781,0.001819625,0.00007023144,0.000008267068,0.0001255243,0.008875369,0.0001576119,0.00004500197,0.986758,0.0009201501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001565863,0.0004975778,8.084059e-7,0.0004207824,0.0007196904,0.003415805,0.9931557,0.0002103021,0.00001353141],"genre_scores_gemma":[0.00175517,0.00002690472,0.00005008385,0.0003444211,0.0008923073,0.002658481,0.9938299,0.00001266101,0.0004300805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01184742,"threshold_uncertainty_score":0.9998489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864787608729223,"score_gpt":0.2700814361072396,"score_spread":0.2114335600199474,"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."}}