{"id":"W2374570789","doi":"","title":"Balanced nutrition and crop production practices for the study of grain sorghum nutrient partitioning and closing yield gaps","year":2016,"lang":"en","type":"dissertation","venue":"K-State Research Exchange (Kansas State University)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorghum; Closing (real estate); Agronomy; Yield (engineering); Nutrient; Crop; Grain yield; Production (economics); Crop production; Agricultural engineering; Environmental science; Mathematics; Agricultural science; Geography; Agriculture; Engineering; Biology; Business; Economics; Physics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001136968,0.0002006511,0.0002753042,0.0006122964,0.001801935,0.0003023589,0.0001640132,0.0000648829,0.00009980632],"category_scores_gemma":[0.0002873162,0.0001593285,0.00005189671,0.0001906114,0.000352391,0.0005832997,0.00007283471,0.0003269776,0.000002158467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113454,"about_ca_system_score_gemma":0.00009721897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002917465,"about_ca_topic_score_gemma":0.076159,"domain_scores_codex":[0.9980538,0.0003741251,0.0002430175,0.0004753672,0.0004612362,0.000392469],"domain_scores_gemma":[0.9975414,0.0005589682,0.0004557053,0.000204965,0.001152307,0.00008662735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01138136,0.005815622,0.002546148,0.01718109,0.002767243,0.0002166462,0.7980661,0.0000196254,0.02050255,0.03847028,0.02616169,0.0768716],"study_design_scores_gemma":[0.004710086,0.002952799,0.002646017,0.0026167,0.0004743544,0.000003483589,0.3797597,0.0001740383,0.006468217,0.01070826,0.5886006,0.0008857382],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908786,0.0008726458,0.00003162419,0.0006544643,0.0004691038,0.003106777,0.0003853296,0.00002974292,0.003571679],"genre_scores_gemma":[0.8933017,0.01306914,0.000008631892,0.000004794447,0.0002950357,0.00007913847,0.0001433567,0.0000354257,0.09306275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.562439,"threshold_uncertainty_score":0.9994976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241954047497713,"score_gpt":0.3388082774778453,"score_spread":0.214612872728074,"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."}}