Genetic variation in traits affecting the water relations of balsam poplar along a latitudinal transect in Northwestern Ontario
Bibliographic record
Abstract
Genetic variation In traits potentially affecting the waterrelations \nof balsam poplar (PopuIus balsamifera L.) clones from \nfour provenances along a transect from northern Wisconsin to \nPickle Lake in northwestern Ontario was examined both in the \nfield and In the greenhouse. Traits measured were transpiration \nrates, stomatal conductance, internode length, average single-leaf \nabaxial area and oven-dry weight, specific leaf weight, and \nstomatal density and length. Additional traits measured In the \ngreenhouse provenance trial were shoot length, number of leaves \nper plant, total abaxial leaf area per plant, total oven-dry root, \nshoot and leaf weight, and oven-dry root/shoot weight ratio. Most \nof the observed variation in traits was attributable to clones \nwithin provenances and to ramets within clones. As much as \neighty-five percent of the observed variation was attributable to \nvariation among and within clones within provenances. The \nprovenance effect had a significant Influence on leaf size and \nmorphology traits, with an apparent north-south clinical trend. \nLeaves from northern sources were smaller In area, lighter In \nweight, and were thicker than leaves from southern sources. As \nexpected stomatal conductance was positively correlated with \nmeasured transpiration rates. The only other trait significantly \ncorrelated with transpiration rates was stomatal length, and this \nonly occurred in the greenhouse provenance trial. Larger stomata \nwere associated with higher rates of transpiration.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".