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A Unique Population: Women Who Are Homeless and Mentally Ill.

2005· article· en· W20504505 on OpenAlexvenueno aff
Patricia A. Markos, Heather Lyn Baron, Daniel N. Allen

Bibliographic record

VenueGuidance & counselling · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMentally illPopulationClinical psychologyPsychiatryMental illnessMental healthSociologyDemography

Abstract

fetched live from OpenAlex

In preparing pathobiochemical studies on [(3)H]dopamine (DA) release in post-mortem human brain, freezing methods were tested regarding their applicability for cryopreservation of brain tissue. An optimal method was to incubate pieces of the nucleus accumbens of rats or humans in 0.32 M sucrose containing 5% dimethylsulfoxide before freezing the brain material. After cryopreservation of these pieces in liquid nitrogen the synaptosomal K(+)-stimulated [(3)H]DA release was found to be unchanged in comparison with the values obtained before freezing. Moreover, the inhibition of K(+)-stimulated [(3)H]DA release by extracellular DA, which is mediated by DA autoreceptors, was also detectable after using this freezing method. During post-mortem storage of rat brains in situ for up to 48 h it was found that [(3)H]DA release changes occurred in dependence on storage temperature: at 2 degrees C no alteration was noted, however, at 22 degrees C a relatively rapid, biphasic exponential decrease was found. Furthermore, subchronic haloperidol pretreatment of rats did not have any influence on post-mortem changes of [(3)H]DA release and its modulation by DA autoreceptors. In conclusion, it seems that post-mortem human brain is suitable for investigating synaptosomal K(+)-stimulated [(3)H]DA release and its autoreceptor-mediated inhibition. For this end a suitable cryopreservation method is presented and a correction for post-mortem delay is proposed which is based on changes of [(3)H]DA release at 22 degrees C in rats.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.361
Teacher spread0.333 · 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 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

Citations2
Published2005
Admission routes1
Has abstractyes

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