{"id":"W3037399935","doi":"10.1007/s10705-020-10079-5","title":"Soil nitrite measurements have potential to estimate nitrous oxide emissions","year":2020,"lang":"en","type":"article","venue":"Nutrient Cycling in Agroecosystems","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Agroecosystem; Nitrite; Nitrous oxide; Fertilizer; Nitrogen; Precision agriculture; Soil science; Agricultural engineering; Agriculture; Nitrate; Agronomy; Chemistry; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.0004812708,0.0003545173,0.0004339419,0.0001134804,0.0002150058,0.0001093301,0.0005615249,0.0001513952,0.0000410464],"category_scores_gemma":[0.000177293,0.0003316934,0.0001430176,0.0005660196,0.00004565703,0.0002210274,0.0003927275,0.0003185687,0.001156894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004079622,"about_ca_system_score_gemma":0.0000173914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094135,"about_ca_topic_score_gemma":0.0002301144,"domain_scores_codex":[0.9965963,0.0001391955,0.0007860864,0.0008092524,0.000906405,0.0007627166],"domain_scores_gemma":[0.9986989,0.00004604484,0.0001759626,0.0003683506,0.00002680194,0.0006839272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001375397,0.000234048,0.9182655,0.0000484464,0.00001840629,0.00008952294,0.000937063,0.06677599,0.01124233,0.000009148835,0.001732876,0.000509163],"study_design_scores_gemma":[0.01463792,0.001192259,0.158148,0.001807569,0.0002591291,0.000167698,0.001941456,0.7394536,0.03964186,0.005476487,0.03268599,0.004588062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906574,0.00004522696,0.005109494,0.001071975,0.0005447321,0.0007512916,0.00002616711,0.0001851215,0.001608571],"genre_scores_gemma":[0.9976665,0.00001057218,0.001177115,0.000697814,0.0001626287,0.00007425027,0.00003653219,0.00005031946,0.0001242602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7601175,"threshold_uncertainty_score":0.9999135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435533516911381,"score_gpt":0.2596081948529438,"score_spread":0.23525285968383,"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."}}