Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Six empirical functions were compared for describing the product yields of agricultural crops grown while subject to increasing levels of root‐zone salinity. The four nonlinear functions fit the test data from a spring wheat ( Triticum aestivum L., cv. Biggar) experiment conducted in Canada's Salt Tolerance Testing Facility closer than the two linear functions. Although each of the four nonlinear declining functions could reasonably describe the data, the modified compound‐discount equation recorded the lowest root mean square error and the highest R 2 value. Additional response data using the nonlinear discount function obtained from 33 separate trials averaged 11% closer in statistical fit and 45% lower in statistical error than the best linear function. The discount function { Y r = 1/(1 + [( C / C 50 ) exp( sC 50) ]} follows a sigmoidal form and relates relative yield ( Y r ) to a measure of root‐zone salinity ( C ) such as the solute concentration with an electrical conductivity of an equivalent saturated soil paste extract (EC e ). This function features two parameters, the salinity level producing 50% of the nonsaline crop yield ( C 50 ) and the absolute value of the general decline in relative yield with salinity at and near C 50 , the steepness constant ( s ). These parameters combine to form a single‐value, salinity‐tolerance index (ST‐Index) consisting of the 50% reduction in crop yield (C 50 ) plus the tendency to maintain some product yield as the crop is subjected to increasing salinity levels approaching C 50 , i.e., ST‐Index = C 50 + s ( C 50 ). The ST‐Index for the Biggar wheat registered 6.44. Approximations for C 50 and s can be derived from the threshold salinity ( C t ) and declining slope ( b ) parameters of the threshold‐slope linear response function [ Y r = 1 − b ( C − C t )]. Procedures for converting C t to C 50 and b to s offer linkages between these linear and nonlinear response function parameters, and are further explored in this paper's companion. The resulting ST‐Index‐values equal 6.56, 9.43, and 5.67 for sample field (corn, Zea mays L.), forage (alfalfa, Medicago sativa L. and falcata L.), and vegetable (radish, Raphanus sativus L.) crops, respectively.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it