{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903966,0.0003709522,0.0002931874,0.0002761416,0.0008172052,0.0007558347,0.0006161985,0.0003155145,0.0009414151],"category_scores_gemma":[0.0002437501,0.0002052033,0.0003590257,0.0005762673,0.0004621631,0.0002664187,0.000355387,0.0003489274,0.0001768331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009042155,"about_ca_system_score_gemma":0.005066109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6142838,"about_ca_topic_score_gemma":0.8695614,"domain_scores_codex":[0.9997775,0.00003188479,0.00001732775,0.00006160695,0.00005762609,0.00005403907],"domain_scores_gemma":[0.9996389,0.00005550631,0.00005573307,0.0000197276,0.0001587145,0.00007130537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003096067,0.002266393,0.2355081,0.0004185554,0.0003880645,0.00201172,0.0009575145,0.02207575,0.6990204,0.00039675,0.0008644702,0.03299624],"study_design_scores_gemma":[0.0003511901,0.01104508,0.8220872,0.00004764372,0.0004497503,0.000272862,0.004750056,0.02687347,0.1279982,0.0002390778,0.005751333,0.0001341441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999206,0.00001698411,0.0001010924,0.00001412957,0.000001882363,0.00005204249,0.0001277807,0.000005619287,0.0004745254],"genre_scores_gemma":[0.9963647,0.0001196785,0.001106024,0.00006410841,0.000001130726,0.00008590583,0.0003827269,0.000004421245,0.001871315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3857162,"threshold_uncertainty_score":0.7759755,"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."}}