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Record W2902866618 · doi:10.1080/17445647.2018.1548384

Geomorphology of the Upper General River Basin, Costa Rica

2018· article· en· W2902866618 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Maps · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Geology in Latin America and Caribbean
Canadian institutionsImpact
FundersMinisterio de Ciencia Tecnología y TelecomunicacionesConsejo Nacional de Ciencia y Tecnología
KeywordsLandformFluvialGeologyGeomorphologyStructural basinGlacial periodTectonicsDrainage basinScale (ratio)GeographyCartographyPhysical geographyPaleontology

Abstract

fetched live from OpenAlex

ABSTRACT In spite of the geomorphological diversity of Central America and Costa Rica, there are few detailed geomorphological maps. A 1:25,000 scale map of the Upper General River Basin (UGRB) in Costa Rica is presented, based on the interpretation of aerial photographs and field geomorphological mapping. A total of 43 types of landforms divided genetically into endogenic (tectonic features), and exogenic (fluvial, gravitational, and glacial features) are mapped for an area of 1560 km2. This cartography is important in terms of disaster prevention and mitigation (floods and hillslope processes), as well as for land use planning.

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 score0.218
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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