MétaCan
Menu
Back to cohort
Record W7006216179

Studies of the biology of swim bladder nematodes, Cystidicola spp. (Habronematoidea) / John Douglas Smith. --

2017· other· en· W7006216179 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaFusible alloyGestational period
DOInot available

Abstract

fetched live from OpenAlex

The life cycle and larval development of swim bladder nematodes, Cystidicola spp., have been elucidated. C, farionis developed in three species of amphipod. Naturally infected amphipods have been found previously but one well known report was not valid. C. cristivomeri. developed in Mysis relicta but not in amphipods. Naturally infected mysids were found. The third-stage larva of Cystidicola spp. and other cystidicolids undergoes considerable growth and development, but not the third moult, in
\nthe intermediate host.
\nC, cristivomeri was found in lake trout, brook trout, a new host record, and lake whitefish, probably an abnormal host. The intensity of infection of c. cristivomeri in lake trout in northwestern Ontario lakes was very high where the trout may be planktonivorous throughout their life. C, cristivomeri may have disappeared from the Great Lakes when lake trout populations
\ndeclined severely. C. farionis was found in a variety of salmonids including introduced species in Lakes Huron and Superior. Eggs of C. farionis had mostly lateral filaments in lake whitefish and mostly polar filaments in other fish hosts. The number of filaments was variable. Changes in the intensity of infection in lake whitefish with age likely relate to changes in amount and kind of food eaten and growth rate of the fish. The movements and feeding
\nhabits of the fish hosts determine which amphipods are important
\nin natural transmission of the parasite.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.520
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.051
GPT teacher head0.250
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

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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueKnowledge Commons (Lakehead University)Same topicPlant Taxonomy and PhylogeneticsFrench-language works237,207