{"id":"W6991007814","doi":"","title":"EVALUATING THE NITROUS OXIDE MITIGATION POTENTIAL OF ENHANCED EFFICIENCY NITROGEN FERTILIZER PRODUCTS IN A SASKATCHEWAN IRRIGATED CEREAL PRODUCTION SYSTEM","year":2022,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Climate Change and Emissions Management Corporation; International Plant Nutrition Institute; Ministry of Agriculture - Saskatchewan","keywords":"Nitrous oxide; Fertilizer; Greenhouse gas; Irrigation; Ammonium nitrate; Nitrate; Nitrification; Nitrogen; Crop yield; Nutrient","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002123734,0.0004259666,0.0005959698,0.0005135949,0.0003672356,0.00001829807,0.0008673007,0.0002788255,0.0001699905],"category_scores_gemma":[0.0000149702,0.0004699602,0.0002303499,0.001628654,0.0001342179,0.001061112,0.000161431,0.0006192795,0.000009008154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005386254,"about_ca_system_score_gemma":0.0006702893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004266915,"about_ca_topic_score_gemma":0.004145406,"domain_scores_codex":[0.997527,0.0003011616,0.0003991811,0.0006263367,0.0007220763,0.000424246],"domain_scores_gemma":[0.9986891,0.0000500213,0.0005373171,0.0004605498,0.0001674083,0.00009562683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.002945152,0.0004821534,0.0009899312,0.004197655,0.0008784404,0.000142873,0.1119926,0.06764058,0.8048241,0.00002553477,0.0004461927,0.005434799],"study_design_scores_gemma":[0.001496176,0.0002373647,0.005840283,0.000641968,0.0005204977,0.000007337032,0.6955338,0.003144035,0.2918335,0.00004000242,0.00003852927,0.0006664827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963716,0.0002339868,0.00009739107,0.0000695993,0.00060161,0.001088412,0.0002213238,0.0003345533,0.0009815383],"genre_scores_gemma":[0.9897406,0.0000309374,0.0008416662,0.000003539271,0.00004857432,0.000001441431,0.001985037,0.00004784904,0.007300335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5835412,"threshold_uncertainty_score":0.9997752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007001692491488788,"score_gpt":0.1861615653003527,"score_spread":0.1791598728088639,"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."}}