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Record W143386995

Cultivation of medicinal plants in greenhouse hydroponics.

2002· article· en· W143386995 on OpenAlex
Dana. Simeunovic

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

VenueScholarship at UWindsor (University of Windsor) · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFlowering Plant Growth and Cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsGreenhouseHydroponicsEnvironmental scienceAgroforestryAgronomyBiology
DOInot available

Abstract

fetched live from OpenAlex

Interest in medicinal plants as an alternative crop for greenhouse growers was the impetus for this project, as little information exists on the commercial production of medicinal plants in hydroponics under greenhouse conditions. This research project was designed to (1) identify medicinal plants with commercial potential, (2) evaluate their suitability for greenhouse hydroponic growth, (3) determine optimal concentrations and ratios of nutrient solutions, and (4) manipulate nitrogen levels as a possible regulator of leaf tissue production and of secondary metabolite production in two medicinally important plants, Hypericum perforatum and Tanacetum parthenium . Once nutrient regimes had been optimized to give maximum yield of both target tissues and concentration of target compounds (hence yield per plant of secondary compounds) additional experimental manipulations were carried out to determine if management practices such as leaf removal or flower bud removal could enhance target tissue yields and secondary metabolite production in Hypericum perforatum and Tanacetum parthenium . (Abstract shortened by UMI.)Dept. of Biological Sciences. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2002 .S56. Source: Masters Abstracts International, Volume: 41-04, page: 1009. Adviser: Lesley Lovett Doust. Thesis (M.Sc.)--University of Windsor (Canada), 2002.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score1.000

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)0.0010.000

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 head0.025
GPT teacher head0.181
Teacher spread0.156 · 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