{"id":"W1978088573","doi":"10.1016/j.fcr.2011.04.008","title":"Guidelines for in-season nitrogen application for maize (Zea mays L.) based on soil and terrain properties","year":2011,"lang":"en","type":"article","venue":"Field Crops Research","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"University of Toronto; York University","keywords":"Elevation (ballistics); Growing season; Zea mays; Agronomy; Environmental science; Soil water; Crop; Nutrient; Hydrology (agriculture); Ecology; Soil science; Biology; Mathematics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008479711,0.0000794856,0.0001090673,0.00002165442,0.0001966697,0.00004217897,0.0001858245,0.0001080444,0.00006928246],"category_scores_gemma":[0.0005635883,0.00003132908,0.00005176758,0.0001195807,0.00005515232,0.00004253674,0.00004608203,0.000116112,0.000003492537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001487201,"about_ca_system_score_gemma":0.00001638306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002509239,"about_ca_topic_score_gemma":0.005425578,"domain_scores_codex":[0.9990442,0.00005718267,0.0001520965,0.0002822481,0.0001687988,0.0002954281],"domain_scores_gemma":[0.9991466,0.0004044223,0.00001995642,0.0000814638,0.0002853526,0.00006214906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003324688,0.0004283768,0.06498568,0.0002184909,0.00001199606,0.000002568108,0.0007982249,0.000003753055,0.2042117,0.001019686,0.01640022,0.7085947],"study_design_scores_gemma":[0.002714975,0.007251614,0.3697602,0.0002791818,0.00002059712,0.000003461132,0.006092717,0.04592758,0.3753454,0.03194931,0.159563,0.001091846],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884431,0.00009373626,0.0001276899,0.009175761,0.00002214962,0.0008567399,0.00002453882,0.00002141974,0.001234875],"genre_scores_gemma":[0.9980572,0.00001142586,0.0002659134,0.0005272455,0.0001319977,0.0005273655,0.00001762505,0.0000012085,0.0004600384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7075028,"threshold_uncertainty_score":0.3793235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2925402669494861,"score_gpt":0.3702888317948421,"score_spread":0.07774856484535597,"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."}}