MétaCan
Menu
Back to cohort

Microcystis aeruginos strain [D-Leu1 ] Mcyst-LR producer, from Buenos Aires province, Argentina

2014· article· en· W2182863143 on OpenAlexaboutno aff
Lorena Rosso, Daniela Sedán, María de los Angeles Kolman, Josep Caixach, Cintia Flores, Juan M. Oteiza, Graciela L. Salerno, Ricardo O. Echenique, Leda Giannuzzi, Darı́o Andrinolo

Bibliographic record

VenueJournal of Coastal Life Medicine · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMicrocystisStrain (injury)BiologyCyanobacteriaGeneticsBacteriaAnatomy

Abstract

fetched live from OpenAlex

Objective: To show the toxicological and phylogenetic characterization of a native Microcystis aeruginosa (M. aeruginosa) strain (named CAAT 2005-3) isolated from a water body of Buenos Aires province, Argentine. Methods: A M. aeruginosa strain was isolated from the drainage canal of the sewage the town of Pila, Buenos Aires province, Argentina and acclimated to laboratory con tdrietaiotmnse.n Tt hine aomutp ilnif iocradteiorn t oo fb cupilcdB Aa -pIhGySl oPghecnoectiyca ntriene .(P ACn, ienxtaecrgtievnei/co rsbpiatrcaepr manads sf lsapnekcitnrgo mreegteior nesq) uwipasp ecda rwriietdh an electrospray ionization source (Thermo Fisher Scientific, Bremen, Germany) was used for the LobC/tEaiSnI-edH RaMs Sa fmuinccrtoicoyns otifn tsim aen awlyass ims. oTdheell endu musbinerg othf ec ell/mL and [D-Leu1] Mcyst-LR production Gompertz equation. Results: The phylogenetic analysis showed that the sequence clustered with others M. aeruginosa sgeroqwuienngc eusn doebrt aciunletudr efr ocmon dNiCtiBoIn. sT mhea ifnitrasitn As rtgheen ttyinpiiacnal sctoraloinn iaolf aMrc. haiteercutguirneo osaf M(C.A aAeTr u2g0i0n5o-s3a) wbyit hLC p-rHofRuMseS/ Omrubcitirlaapgea.s Mas. [aDe-ruLgeiun1]o smai cCrAoAcyTs 2ti0n0-5-L3R e([xMp+reHs]s+e=s1 0a3 t7o.8x imn /vza).r iant, that was identified Conclusions: [D-Leu1] microcystin-LR has been also detected in M. aeruginosa samples from Cpraondaudcat,i oBnr aozf ial naanldyt iAcragl esntatinndaa. rTdhs iosf wtooxrikn sp prorvesideenst itnh eo ubra rseisg ifoonr. technological

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.007
GPT teacher head0.206
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations15
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Coastal Life MedicineSame topicAquatic Ecosystems and Phytoplankton DynamicsFrench-language works237,207