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Influence of annual fluctuations in environmental conditions on chasmogamous flower production in Viola striata<sup>1</sup>

2006· article· en· W1890002082 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Journal of the Torrey Botanical Society · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical and Structural Characterization
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyQuadratPerennial plantInflorescencePopulationTemperate climatePollinatorBotanyHorticulturePollinationPollenDemography

Abstract

fetched live from OpenAlex

Cortés-Palomec, A. and H. E. Ballard (Department of Environmental and Plant Biology, Ohio University, Athens, Ohio, 45701). Influence of annual fluctuations in environmental conditions on chasmogamous flower production in Viola striata. J. Torrey Bot. Soc. 133(2): 312–320. 2006.—The ecological factors affecting chasmogamous flower production by Viola striata, a perennial herb widely distributed in temperate forests of the northern and eastern United States and southern Canada, were studied in a natural setting. Forty semi-permanent quadrats were established at two sites in southern Ohio where populations of V. striata are abundant. Investigations were conducted from April to mid-June in 2002 and 2003. The number of chasmogamous flowers produced per individual per quadrat was recorded and the percentage of flowers becoming fruits per plant was measured as an indication of reproductive success. For each quadrat, canopy openness and soil properties (N, K, P, Ca, Mg, pH, and moisture) were documented and their effects on chasmogamous flower production were evaluated. Chasmogamous flower production was correlated in some, but not in all cases with light availability one to two weeks before the population reached the peak of blooming. Multiple correlations showed that phosphorus and calcium were important in all significant cases while light, magnesium, nitrogen and pH were important in some cases. Chasmogamous flower success was highly variable ranging from 1 to 100 % of success in fruit set possibly due to differential pollinator activity.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.214

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.003
GPT teacher head0.206
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it