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Record W6982177611

Hemocitos y oxihemocianina en hembras de Cryphiops caementarius Molina 1782 (Crustacea: Palaemonidae) criadas a diferentes salinidades

2014· other· es· W6982177611 on OpenAlexaboutno aff

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2014
Typeother
Languagees
FieldMaterials Science
TopicMachine Learning in Materials Science
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador Retriever
DOInot available

Abstract

fetched live from OpenAlex

"Las hembras de Cryphiops caementarius se concentran en la desembocadura de los ríos para reproducirse y soporta variaciones de salinidad, entre otros factores. El objetivo fue determinar la variación de los hemocitos totales y de la concentración de oxihemocianina de la hemolinfa en hembras de C. caementarius criadas en diferentes salinidades. Los camarones de 5,63 g y 5,72 cm fueron distribuidos en ocho acuarios y mantenidos durante 30 días en agua con salinidades de 0, 6, 12 y 18‰, alimentados con balanceado dos veces al día con el 2% de la biomasa. Los análisis se realizaron de la hemolinfa, extraída del seno pericárdico. El número total de hemocitos y la concentración de oxihemocianina fueron significativamente (P<0,05) mayores en las hembras criadas a 12‰ de salinidad (207,50 x 105 ± 38,89 x105 células mL-1; 5,619 ± 4,735 mmol L-1) en relación con las criadas en 6‰ (106,00 x 105 ± 64,12 x 105 células mL-1; 0,518 ± 0,159 mmol L-1) y a 0‰ (73,75 x 105 ± 25,37 x 105 células mL-1; 0,228 ± 0,237 mmol L-1). En salinidad de 18‰ todos los camarones murieron a los 8 días; en cambio la supervivencia en 12‰ fue de 25%, y en 6‰ y 0‰ fue de 66,7% y 58,3%, respectivamente. El incremento de la salinidad del agua inducen a un incremento del número total de hemocito y de la concentración de oxihemocianina; sin embargo, en alta salinidad la supervivencia fue baja y esto indica situaciones de estrés."

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0050.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0240.004

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 head0.250
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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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