{"id":"W2030027511","doi":"10.2134/agronj2011.0342","title":"Spring Wheat Yield and Quality Related to Soil Texture and Nitrogen Fertilization","year":2012,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Association of Friendship Centres; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Sowing; Agronomy; Nitrogen; Test weight; Human fertilization; Yield (engineering); Animal science; Soil texture; Growing season; Grain yield; Chemistry; Soil water; Biology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004508987,0.00008640449,0.0001145482,0.000008548851,0.0002823418,0.0001041278,0.00006088536,0.00007623024,0.0002616909],"category_scores_gemma":[0.00006539209,0.00003406603,0.00003713308,0.00007790946,0.00002605727,0.0002478941,0.00005689358,0.0001568072,0.000007779074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001679728,"about_ca_system_score_gemma":0.000003716969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003260895,"about_ca_topic_score_gemma":0.000517047,"domain_scores_codex":[0.9993216,0.0000516917,0.000193364,0.0001217227,0.00009009219,0.0002215684],"domain_scores_gemma":[0.9995394,0.00008983201,0.0000492718,0.00002982819,0.00003296915,0.0002586619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002666116,0.00002372949,0.9106196,0.000002856439,0.00000942025,5.142222e-7,0.000316201,9.287381e-7,0.0241022,0.0001334059,0.0001341572,0.06463031],"study_design_scores_gemma":[0.0000683769,0.00003633885,0.9936146,0.00001588497,0.000007896053,0.00002787637,0.0003425507,0.000005688977,0.001095381,0.0004834953,0.004203885,0.00009809888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996227,0.001395775,0.00001291632,0.001289933,0.00008262949,0.00006639246,0.000001761651,0.00001720702,0.0009063697],"genre_scores_gemma":[0.9993643,0.0000599789,0.00004066913,0.0002067773,0.0001611881,0.00000153843,0.000001741876,5.817433e-7,0.0001632048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08299492,"threshold_uncertainty_score":0.2865332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302932670503724,"score_gpt":0.2467339360978495,"score_spread":0.2137046093928122,"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."}}