{"id":"W2339481647","doi":"10.1139/cjps-2015-0374","title":"Relationship between plant nitrogen and phosphorus accumulations in a canola crop as affected by nitrogen management under ample phosphorus supply conditions","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Canola Council of Canada","keywords":"Canola; Phosphorus; Nitrogen; Brassica; Agronomy; Nutrient; Dry matter; Crop; Nutrient management; Chemistry; Animal science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002229318,0.0003118133,0.0003419761,0.0008367709,0.0004672525,0.0004411781,0.000355941,0.0004355785,0.0005295309],"category_scores_gemma":[0.0003103642,0.0002141259,0.0001694839,0.0005409371,0.0002763333,0.0003369316,0.0002194462,0.0005596871,0.0001233782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083896,"about_ca_system_score_gemma":0.0004231248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852417,"about_ca_topic_score_gemma":0.03813573,"domain_scores_codex":[0.9998775,0.00001568751,0.000007876315,0.00004502087,0.00002780345,0.00002612882],"domain_scores_gemma":[0.9995083,0.0001446365,0.0001081179,0.00001990129,0.0000926058,0.0001265889],"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":[0.001746211,0.0003205781,0.09921471,0.0001051285,0.0001396798,0.0005132613,0.00038574,0.0005631323,0.8906201,0.00009143316,0.0001102104,0.006189773],"study_design_scores_gemma":[0.00001594251,0.0006397555,0.9595917,0.00000423212,0.00007074404,0.0003035011,0.0003230698,0.002488888,0.03565462,0.00009510884,0.0007798828,0.00003246877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994171,0.0001839459,0.00005669222,0.00001462543,0.000001510101,0.000003473764,0.00008056659,0.000004899352,0.0002371844],"genre_scores_gemma":[0.9987857,0.000127075,0.0001676058,0.00002376309,0.000001952227,0.00001008057,0.0002500876,0.000004331584,0.0006294937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01852417,"threshold_uncertainty_score":0.03683269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337838886407099,"score_gpt":0.2505446326493075,"score_spread":0.2371662437852365,"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."}}