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Record W2023922077

TEXTURE CHARACTERISTICS OF SELECTED CARROT VARIETIES FOR THE PROCESSING INDUSTRY

2005· article· en· W2023922077 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

VenuePolish Journal of Food and Nutrition Sciences · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Plant Science, Crop Management
Canadian institutionsnot available
Fundersnot available
KeywordsMathematicsTexture (cosmology)CultivarMaximaHorticultureBiologyArtificial intelligenceComputer scienceArt
DOInot available

Abstract

fetched live from OpenAlex

The research was conducted on seven industrial carrot varieties: Bangor, Canada, Carlo, Fayette, Kazan, Kathmandu and Maxima and one lineage - Nun 7375. The carrots were grown under identical agritechnical conditions on an Experimental Farm of the Warsaw Agricultural University inelazna near Skierniewice for two consecutive years, 2000 and 2001. The texture of carrot roots was evaluated by means of pene- tration and compression tests. The penetration and compression curves obtained (in force-shift system) were analysed with the INSTRON IX SERIES Automated Material Testing System ver. 8.04. The significance of difference between the mean values of the texture discriminants exam- ined was determined by analysis of variance (Duncan's test). The calculations were done with STATISTICA TM 6.0. All of the carrot varieties exam- ined varied significantly (p<0.05) in the parameters analysed. Only two varieties, i.e. Maxima and Kathmandu, were characterised by the most sta- ble texture in two consecutive years of research. The variety Maxima turned out to be the hardest and firmest, whereas the results of measurements obtained for the roots of the variety Kathmandu were opposite. In most cases, weather conditions and agritechnical treatments in particular years of cultivation had a considerable effect on root texture in the varieties examined. The place and method of sampling were also of great impor- tance in terms of the tests applied. The experimental results indicate that both tests are complementary and should be conducted together.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.241
Teacher spread0.216 · 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