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Record W1587279633 · doi:10.1300/j237v11n02_02

The Effects of Organic and Inorganic Nitrogen Fertilizer on the Morphology and Anatomy of Cannabis sativa “Fédrina” (Industrial Fibre Hemp) Grown in Northern British Columbia, Canada

2006· article· en· W1587279633 on OpenAlex
Charlene Forrest, Jane P. Young

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Industrial Hemp · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsNitrogenPhloemXylemCannabis sativaFertilizerAgronomyBiologySecondary growthBotanyChemistry

Abstract

fetched live from OpenAlex

Abstract The effects of organic and inorganic nitrogen fertilizer on the morphology and anatomy of Cannabis sativa “Fédrina” (industrial fibre hemp) was investigated in both a greenhouse and field setting in Northern British Columbia. Plots (90 stems/m2) treated with 0, 75, 150 or 300 kg N/ha of inorganic nitrogen, or fish meal, blood meal or sea star organic fertilizers were also replicated with 90 kg inorganic P2O5/ha application. The application of 150 and/or 300 kg N/ha of any nitrogen fertilizer type benefited field-grown plant morphology, secondary phloem fibre and xylem development, while greenhouse-grown plant morpology, secondary phloem fibre and xylem were positively influenced by 90 kg P2O5/ha. Primary phloem fibre characteristics of both greenhouse and field-grown plants were benefited by the absence of either nitrogen or phosphorus fertilizer. This study determined that the response of C. sativa “Fédrina” fibre production to organic nitrogen application was comparable to that of inorganic nitrogen application.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.011
GPT teacher head0.201
Teacher spread0.190 · 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