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Record W2139503007 · doi:10.3122/jabfm.17.2.136

Human Exposure Assessment and Relief From Neuropsychiatric Symptoms: Case Study of a Hairdresser

2004· article· en· W2139503007 on OpenAlexaffabout
Stephen J. Genuis, Shelagh K. Genuis

Bibliographic record

VenueThe Journal of the American Board of Family Medicine · 2004
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsSeagen (Canada)University of Alberta
Fundersnot available
KeywordsMedicineMnemonicPsychiatryDepression (economics)AbnormalityEnvironmental health

Abstract

fetched live from OpenAlex

Human exposure assessment and the results of implementing 'precautionary avoidance' suggested a relationship between a hairdresser's neuropsychiatric symptoms and occupational exposure to potentially hazardous chemicals. A variety of investigations in response to patient complaints of depression, emotional instability and various physical symptoms revealed no objective abnormality; the CH2OPD2 mnemonic (community, home, hobbies, occupation, personal habits, diet and drugs) recommended by the Ontario College of Family Physicians was used as a first-line screening tool to assess potential environmental exposure to toxins. After occupational leave of absence, the patient reported cessation of symptoms. Environmental causes for familiar medical problems are frequently undiagnosed; it is recommended that, where appropriate, a screening tool for evaluation of environmental exposure to toxics be incorporated into primary care assessment and management of patients.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.084
GPT teacher head0.484
Teacher spread0.400 · 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 designCase report
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

Citations7
Published2004
Admission routes2
Has abstractyes

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