{"id":"W7014456495","doi":"","title":"Predicting soil nitrogen supplying power for canola growth","year":2018,"lang":"en","type":"other","venue":"","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Canola; Nitrogen; Power (physics); Production (economics); Soil water","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000293034,0.0006321032,0.0001566279,0.0004722553,0.0001902627,0.0005678523,0.0004914367,0.0004337617,0.003276354],"category_scores_gemma":[0.0007463451,0.0001802185,0.0002829525,0.0003595114,0.00009647326,0.0004738141,0.0002136841,0.0002353229,0.0008479555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007372785,"about_ca_system_score_gemma":0.0008218717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03328454,"about_ca_topic_score_gemma":0.05764106,"domain_scores_codex":[0.9999555,0.0000064363,0.000001734077,0.00001751449,0.00001073929,0.000007979789],"domain_scores_gemma":[0.9998764,0.00006416869,0.00001089242,0.000008557106,0.0000224808,0.00001746382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002277998,0.000141322,0.06220721,0.00009800128,0.00008405677,0.00007719031,0.0000291965,0.8505217,0.01264978,0.001533295,0.004501598,0.06792883],"study_design_scores_gemma":[0.00001585028,0.00001558133,0.006175619,0.000003747279,0.00001883348,0.00001115576,0.00001660981,0.9851076,0.005301907,0.001234809,0.00209034,0.000007908946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462103,0.0004492021,0.03270239,0.0004131989,0.00004756863,0.00002403435,0.004100534,0.002186823,0.01386585],"genre_scores_gemma":[0.9773394,0.0002016441,0.01290439,0.00002752926,0.00001679023,0.00001521449,0.003704111,0.0001367653,0.00565416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03328454,"threshold_uncertainty_score":0.0661816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005443195190245373,"score_gpt":0.2331748593999254,"score_spread":0.22773166420968,"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."}}