{"id":"W1854140219","doi":"10.5539/jas.v7n11p11","title":"Yield Response to Variable Rate Irrigation in Corn","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; U.S. Department of Agriculture","keywords":"Irrigation; Irrigation scheduling; Center pivot irrigation; Evapotranspiration; Randomized block design; Yield (engineering); Environmental science; Mathematics; Agronomy; Statistics; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004136064,0.00007999956,0.0001210805,0.00004590649,0.0001118765,0.0002131258,0.0004247794,0.0000286422,0.00005218403],"category_scores_gemma":[0.0008857121,0.00002409688,0.0000324084,0.001258445,0.00003755084,0.001209395,0.00008999815,0.0001165647,0.00004019626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149993,"about_ca_system_score_gemma":0.0000455958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000219328,"about_ca_topic_score_gemma":0.0001368186,"domain_scores_codex":[0.9986684,0.0001170629,0.0003288724,0.0001495323,0.0005043898,0.0002317676],"domain_scores_gemma":[0.9988167,0.0001702942,0.0002547041,0.00003303519,0.0004707035,0.0002546027],"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":[0.0003132888,0.00007121626,0.002311937,0.000001385358,0.000003209999,0.00001194299,0.0006288902,0.001317738,0.9889685,0.0006366588,0.002482025,0.003253211],"study_design_scores_gemma":[0.0001724578,0.0006321212,0.9809643,0.00004550033,0.000005650267,0.00003780463,0.001908294,0.00002817301,0.005332951,0.001048589,0.009705228,0.0001189045],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868595,0.00001050344,0.00001414926,0.0108611,0.000349183,0.0001161089,0.000001405248,0.000007736155,0.001780296],"genre_scores_gemma":[0.9979956,0.00000245728,0.0008973641,0.000462361,0.0001411404,0.000001971444,8.849959e-7,2.597771e-7,0.0004979732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9836355,"threshold_uncertainty_score":0.2055177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04062447963891079,"score_gpt":0.2525163223504582,"score_spread":0.2118918427115474,"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."}}