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Record W2516029903 · doi:10.12735/as.v4n2p15

Status of Cacao Trees Following Seasonal Floods in Major Watersheds of the Peruvian Amazon

2016· article· en· W2516029903 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.

venuePublished in a venue whose home country is Canada.
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

VenueAgricultural Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCocoa and Sweet Potato Agronomy
Canadian institutionsnot available
Fundersnot available
KeywordsAmazon rainforestGeographyFlood mythForestryAgroforestryEnvironmental scienceArchaeologyBiologyEcology

Abstract

fetched live from OpenAlex

Three cacao (Theobroma cacao) production systems (traditional, mixed and monoculture) were studied in Peru between February and July 2012 in order to evaluate the response of the species to an extremely high seasonal inundation along Amazonian rivers. Survival rates of cacao individuals after flooding varied greatly, between 0.6% to 100%, depending on the type of production system and the age of the plants. The highest number of flower cushions was found on trees from 8 to 10 years old, with an average of 9.7 flower cushions 30 cm above the high water line and 9.1 cushions 30 cm below the water line. Results indicate that younger, unshaded cacao trees are most vulnerable to floodwater mortality and flower cushion damage, and the importance of agroforestry systems in cultivating this tree species in highly disturbed and increasingly unpredictable floodplain environments.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.212

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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