{"id":"W2804245429","doi":"10.1007/s10705-018-9925-7","title":"Nutrient uptake of iron, zinc, magnesium, and copper in transgenic maize (Zea mays) as affected by rotation systems and N application rates","year":2018,"lang":"en","type":"article","venue":"Nutrient Cycling in Agroecosystems","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Nutrient; Stover; Agronomy; Chemistry; Micronutrient; Zinc; Dilution; Fertilizer; Phosphorus; Crop; Rotation system; Nitrogen; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003502457,0.0004285856,0.0005233954,0.0003884305,0.0003164737,0.0005270052,0.0006905164,0.0006449045,0.0007333953],"category_scores_gemma":[0.0004176121,0.0004192409,0.0002721909,0.0003900465,0.0005177472,0.0006119845,0.0003966179,0.0006465103,0.0001754894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002108546,"about_ca_system_score_gemma":0.0007765634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02447571,"about_ca_topic_score_gemma":0.02147951,"domain_scores_codex":[0.9997248,0.00004563065,0.00002488132,0.00009385562,0.00003782575,0.00007298958],"domain_scores_gemma":[0.9994121,0.0001984751,0.0001281989,0.00003178286,0.0000752249,0.0001543351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002039758,0.00004813424,0.0007755175,0.00002994306,0.00001240472,0.0000358226,0.00006897726,0.0001145545,0.9962745,0.00008435682,0.00002804156,0.0004879708],"study_design_scores_gemma":[0.0002078705,0.001189998,0.0394146,0.00001326088,0.0001196016,0.0001251054,0.0003375906,0.007668741,0.9490842,0.0003046148,0.001481296,0.0000531383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992074,0.0001298701,0.0002791399,0.00004593257,0.000006220117,0.000006158318,0.0001327344,0.0000206141,0.0001719354],"genre_scores_gemma":[0.9976528,0.00008462383,0.0004713717,0.00003332044,0.000002377853,0.00001441351,0.0002436777,0.0000284073,0.001468987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02447571,"threshold_uncertainty_score":0.04866654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007878741949979659,"score_gpt":0.229514143792906,"score_spread":0.2216354018429263,"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."}}