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Record W3113960179 · doi:10.26855/ijfsa.2020.12.016

Tasmania Hemp (Cannabis) Fiber and Seed Cultivar Field Trials—2018-2019

2020· article· en· W3113960179 on OpenAlex
Robert C. Clarke

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

VenueInternational journal of food science and agriculture · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Parasitism and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsCultivarCannabisCannabis sativaField trialBiologyHorticultureAgronomyBusinessMedicinePsychiatry

Abstract

fetched live from OpenAlex

Tasmania has a temperate climate well-suited for hemp production, is located nearer to the south pole than other regions of Australia, and therefore presents an important location for hemp variety trials. The primary aim of this research is to evaluate the performance of hemp (Cannabis) fiber and seed cultivars from various geographical origins and latitudes when grown in southern Tasmania. Seventeen registered hemp cultivars were sown on three dates in large replicate trial blocks to allow combine harvesting and collection of accurate yield data. Results are discussed with respect to site selection, crop performance, sowing dates, sowing rates, crop development, pest infestation, THC levels, seed yields, crop management and cultivar selection. Canadian cultivars performed well for grain seed production with the highest yields and their short crop height accommodates mechanical harvesting. French cultivars yielded much less seed than Canadian cultivars and grew to heights nearly beyond the reach of a standard grain header. Chinese cultivars flowered too late to produce viable seeds and are not suitable for hemp seed grain production in Tasmania, although their vigorous growth and late flowering makes them good candidates for biomass production. THC levels in the sampled Chinese cultivars were too high for seed production, but those that do not flower at Tasmanian latitudes are suitable for fiber and biomass production.

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 score0.784
Threshold uncertainty score0.208

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 head0.022
GPT teacher head0.249
Teacher spread0.227 · 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