{"id":"W2921982379","doi":"10.4231/mdjm-0529","title":"Evaluation of nitrogen stabilizers - nitrogen use efficiency and greenhouse gas emissions in Alberta cereal crops","year":2019,"lang":"en","type":"article","venue":"","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Guelph; University of Alberta","funders":"","keywords":"Greenhouse gas; Environmental science; Nitrogen; Agronomy; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006576608,0.0001006385,0.0001631292,0.00001435487,0.00005428182,0.00002821423,0.0001159605,0.00007937021,0.001222247],"category_scores_gemma":[0.0002484181,0.00003723659,0.00005729163,0.0002138946,0.0000550524,0.0001340971,0.00006587125,0.00007046453,0.00001049093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002918973,"about_ca_system_score_gemma":0.00002503943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02408727,"about_ca_topic_score_gemma":0.03784141,"domain_scores_codex":[0.9987835,0.0001609434,0.0002369264,0.000266688,0.0003601861,0.0001918167],"domain_scores_gemma":[0.9993178,0.0003375348,0.00005207386,0.00008523171,0.000123284,0.00008404175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004582405,0.0001707883,0.9126323,0.000005678453,0.000006554127,2.550959e-7,0.0002350755,0.00001879186,0.06065796,0.00009529785,0.00002782181,0.02610359],"study_design_scores_gemma":[0.0006393404,0.000303957,0.9803601,0.00002276845,0.00004357067,0.000002863741,0.001225078,0.004709525,0.008169966,0.003949603,0.0003527155,0.000220494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973035,0.00005735086,2.905493e-7,0.0002608058,0.00003072036,0.0003523995,0.00001242116,0.00001542984,0.001967117],"genre_scores_gemma":[0.9997559,0.00001645624,0.00001497123,0.00003226321,0.0000130832,0.000006265614,0.00001348642,6.947937e-7,0.0001469068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06772775,"threshold_uncertainty_score":0.9996908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537205036659021,"score_gpt":0.2522568600503147,"score_spread":0.2168848096837244,"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."}}