MétaCan
Menu
Back to cohort
Record W7037883608

Factores sociodemográficos y abandono del tratamiento de multimicronutrientes de niños de 6 a 36 meses, centro de salud ollantay, 2017

2018· dissertation· en· W7037883608 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2018
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsAbandonment (legal)Sample (material)Quarter (Canadian coin)Reliability (semiconductor)Health careTreatment and control groupsSample size determination
DOInot available

Abstract

fetched live from OpenAlex

The current investigation aimed to determine the relationship between sociodemographic factors and abandonment of multi-micronutrient supplement treatment in children from 6 to 36 months which went to growth control and development of Maternal and Child Health Center "Ollantay" during the first quarter of 2017. Quantitative research, descriptive method, cross-sectional correlational design. The sample was conformed by 180 mothers. To data collect a questionnaire was used as an instrument, which got a strong reliability of 0.890 and 0.887 in Cronbach's alpha. The results show that 24.39% of mothers submit a high level in regards to sociodemographic factors, 48.78% set out a medium level and 26.83% a low level, it is also evident that 30.89% present a high level with respect to the abandonment of multi-micronutrient supplement treatment, 32.52% show a medium level and a 36.59% have got a low level. It is concluded that variable sociodemographic factors are directly and positively related to abandonment of multi-micronutrient supplement treatment variable. It is recommended to Ollantay Health Center to carry out monitoring with community agents in order to achieve the objective in mothers with respect to multi-micronutrient supplement treatment in children from 6 to 36 months

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)0.000
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 score0.575
Threshold uncertainty score0.829

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)0.0010.000

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 head0.013
GPT teacher head0.253
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuerenatiSame topicInsect-Plant Interactions and ControlFrench-language works237,207