{"id":"W2560747453","doi":"","title":"Partitioning Residue-derived and Residue-induced Emissions of N 2 O Using 15 N-labelled Crop Residues","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Residue (chemistry); Crop residue; Chemistry; Environmental science; Agriculture; Biology; Organic chemistry","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":[0.0006743795,0.0002113666,0.0003117851,0.00001496193,0.0004530156,0.00007800278,0.0001812598,0.0001532127,0.00007354367],"category_scores_gemma":[0.0008632369,0.0001922425,0.00005162551,0.0001416227,0.0001294188,0.0001853803,0.00003116441,0.0002346407,0.00001882108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005099672,"about_ca_system_score_gemma":0.00007107791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209424,"about_ca_topic_score_gemma":0.007537425,"domain_scores_codex":[0.9982918,0.0001180991,0.0005157653,0.0003865159,0.0002843972,0.0004034039],"domain_scores_gemma":[0.9984927,0.0005732264,0.0003578113,0.0002676344,0.00007053043,0.000238069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009250168,0.00003842237,0.7153856,0.0001543659,0.00003866744,0.00002900715,0.000584794,0.02129735,0.2599599,0.00001021387,0.0002783048,0.00213088],"study_design_scores_gemma":[0.000738343,0.0001156596,0.7305771,0.0007522687,0.00006457901,0.00003620366,0.0005497008,0.005089276,0.2607561,0.0005583707,0.0002988985,0.0004635513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826761,0.000270108,0.0000202244,0.0001532448,0.00009764054,0.0001025639,0.000009342991,0.00007152929,0.01659924],"genre_scores_gemma":[0.9927199,0.00003184049,0.006796373,0.00007193602,0.0001707591,7.458922e-7,0.00002795149,0.000009830158,0.0001706514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642859,"threshold_uncertainty_score":0.9855772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661168734447069,"score_gpt":0.2438507518851962,"score_spread":0.2172390645407255,"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."}}