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Record W3126125796 · doi:10.3910/2009.176

Malaria in irrigated agriculture: papers and abstracts for the SIMA Special Seminar at the ICID 18th International Congress on Irrigation and Drainage, Montreal, 23 July 2002

2002· preprint· en· W3126125796 on OpenAlexaboutno aff
Eline Boelee

Bibliographic record

VenueCGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · 2002
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Systems and Practices
Canadian institutionsnot available
FundersConsortium of International Agricultural Research Centers
KeywordsSimaIrrigationDrainageAgricultureAgricultural economicsMalariaGeographyWater resource managementLibrary sciencePolitical scienceEnvironmental scienceArchaeologyMedicineEconomicsBiologyAgronomyEcologyComputer science

Abstract

fetched live from OpenAlex

The Special SIMA Seminar on Malaria in Irrigated Agriculture at the 18th ICID International Congress on Irrigation and Drainage was one of the activities aimed at increasing awareness in the agricultural community on the potential of environmental interventions to reduce malaria under Output 4 of SIMA. This document contains papers and abstracts submitted for this seminar in Montreal, Canada. The authors themselves are responsible for their contributions and it is hoped that the publication of these proceedings will stimulate discussions among participants of the seminar as well as in the wider SIMA Network. This seminar is organized by SIMA, the CGIAR Systemwide Initiative on Malaria and Agriculture, in collaboration with the International Water Management Institute (IWMI). This and subsequent scientific seminars will gather experts on malaria and agriculture to contribute to the development of a comprehensive knowledge base on malaria and agriculture.

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.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.002
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 head0.060
GPT teacher head0.327
Teacher spread0.267 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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