Bibliographic record
Abstract
The research program at the East Central Kansas Experiment Field is designed to keep \narea crop producers abreast of technological advances in agronomic agriculture. Specific \nobjectives are to (1) identify top performing varieties and hybrids of wheat, corn, \nsoybean, and grain sorghum; (2) establish the amount of tillage and crop residue cover \nneeded for optimum crop production; (3) evaluate weed and disease control practices \nusing chemical, no chemical, and combination methods; and (4) test fertilizer rates, \ntiming, and application methods for agronomic proficiency and environmental \nstewardship. \n \nContributors: E.A. Adee, Assistant Professor, Kansas River Valley Experiment Field, Topeka \nI. Campitti, Assistant Professor, Dept. of Agronomy, K-State, Manhattan \nG. Cramer, Assistant Professor, South Central Experiment Field, Hutchinson \nE. DeWolf, Professor, Dept. of Plant Pathology, K-State, Manhattan \nB.J. Haverkamp, Graduate Student, Dept. of Agronomy, K-State, Manhattan \nJ.D. Jennnings, Graduate Research Assistant, Dept. of Agronomy, K-State, Manhattan \nJ. Kimball, Plant Science Tech, East Central Experiment Field, Ottawa \nK. Kusel, Research Assistant, Southeast Agricultural Research Center, Parsons \nC.R. Little, Associate Professor, Dept. of Plant Pathology, K-State, Manhattan \nC. Minihan, Assistant Scientist, Dept. of Agronomy, K-State, Manhattan \nS. Naeve, Associate Professor, Agronomy and Plant Genetics, University of Minnesota \nD.E. Peterson, Professor, Dept. of Agronomy, K-State, Manhattan \nP.V.V. Prasad, Professor, Crop Physiology, Dept. of Agronomy, K-State, Manhattan \nD. Presley, Associate Professor, Dept. of Agronomy, K-State, Manhattan \nC.B. Rajashekar, Professor, Dept. of Horticulture, Forestry, and Recreation Resources, K-State, Manhattan \nK.L. Roozeboom, Associate Professor, Cropping Systems, Dept. of Agronomy, K-State, Manhattan \nG. Sassenrath, Associate Professor, Southeast Agricultural Research Center, Parsons \nA. Schlegel, Professor, Southwest Research-Extension Center, Garden City \nD. Shoup, Extension Specialist, Crops and Soils, Southeast Area Office, Chanute \nJ. Shroyer, Extension Specialist, Agronomy, K-State, Manhattan \nC.R. Thompson, Professor, Dept. of Agronomy, K-State, Manhattan \nE. Wilson, Graduate Student, Agronomy and Plant Genetics, University of Minnesota
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.198 | 0.096 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".