Registration of ‘Curiosity CL+’ soft white winter wheat
Bibliographic record
Abstract
Abstract ‘Curiosity CL+’ (Reg. no. CV‐1167, PI 675007; PVP 201500290) is a soft white winter (SWW) wheat (Triticum aestivum L.) cultivar carrying two‐gene tolerance to imazamox herbicide that was developed and released by the Agricultural Research Center of Washington State University in October 2013. It was tested under the experimental designations EBC2F3‐3‐18 and WA008143. Curiosity CL+ was developed using marker‐assisted background selection involving a cross between ‘Eltan’ and ‘CL0618’. Eltan was a predominant SWW wheat cultivar (released in 1990) in the Pacific Northwest (PNW), whereas CL0618 is an Australian hard red spring line carrying two‐gene mutations conferring herbicide tolerance. Curiosity CL+ carries two mutation alleles (AhasL‐B1 and AhasL‐D1) of acetolactate synthase gene copies on chromosomes 6B and 6D. Curiosity CL+ has high grain‐yield potential, intermediate plant height, and is well adapted to the dryland production areas of the PNW with <300 mm of annual precipitation. Tested in multiple location and years, Curiosity CL+ showed herbicide tolerance equivalent to the two‐gene Clearfield cultivar ‘AP503 CL2’ (PVP 200800322) and higher than the single‐gene Clearfield cultivar ‘ORCF‐102’ (PI 641787). Its end‐use quality is similar to ORCF‐102, ‘Stephens’ (CI 17596), and ‘Xerpha’ (PI 645605). Compared with Eltan, Curiosity CL+ has better stripe rust resistance, whereas the level of snow mold and Cephalosporium stripe tolerance is equal.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".