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Record W2784093569 · doi:10.4236/ajps.2018.91002

Germination Response of Ornamental Pine Seeds on a Two-Way Thermogradient Plate

2018· article· en· W2784093569 on OpenAlexaff
Marcos Vieira Ferraz, Kathia Fernandes Lopes Pivetta, Hugh W. Pritchard, T. C. Marks, Marcelo Vieira Ferraz, Leandro José Grava de Godoy

Bibliographic record

VenueAmerican Journal of Plant Sciences · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsUniversity of Regina
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsGerminationPinus tabulaeformisOrnamental plantHorticulturePetri dishBotanyAgarBiology

Abstract

fetched live from OpenAlex

The objective of this study was to evaluate the effect of temperature on germination of Pinus tabuliformis Carrière seed, Pinus gerardiana Wall. ex D. Don and Pinus roxburghii Sarg. Seeds of three species were distributed in Petri dishes with 1% agar solution; for the first step it was placed on a 2-way Grant’s thermogradient plate (a bi-directional incubator) for a period of 28 days and during the second step in an incubator type B.O.D. also for 28 days with non-germinated seeds in the first step. This instrument allows an assessment of a wide regime of constant and alternating temperatures, resulting to 144 different combinations of temperature, scheduled to the temperatures 4°C - 40°C. The lighting regime was 12 hours photoperiod for the two stages of the experiment. The best temperature for the germination of P. tabuliformis was 26.2°C (minimum of 7.9°C and maximum 37.0°C) and P. roxburghii was 15.6°C (minimum 10, 4°C and maximum 37.0°C). The seeds are neutral photoblastic. P. gerardiana showed low germination percentage (below 10%). The temperature that provided the highest germination percentage for P. tabuliformis was 26.2°C and 15.6°C for P. roxburghii.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.024
GPT teacher head0.267
Teacher spread0.243 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2018
Admission routes1
Has abstractyes

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