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Record W2136233778 · doi:10.12927/hcq..17166

CIHR Research: Getting to the Source of Schizophrenia

2005· article· en· W2136233778 on OpenAlexaff
Philip Seeman

Bibliographic record

VenueHealthcare Quarterly · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)Best practicePsychologyHealth administrationMedicinePsychiatryNursingPolitical sciencePublic health

Abstract

fetched live from OpenAlex

Getting to the Source of Schizophrenia T here is nothing more terrifying than losing one's mind.Schizophrenia is a terrifying brain disorder that affects one in 100 Canadians -and causes this very problem.Three hundred thousand Canadians suffer from schizophrenia at one point in their lives, and their problems include disorganized thinking, paranoia, hallucinations and social withdrawal (www.schizophrenia.ca).While drugs have been available to control this disorder since the 1950s, the origins of schizophrenia are still a mystery.For the bulk of my career, I have devoted myself, as physician and researcher, to uncovering the mysteries of this disorder, so that we might understand it, treat it -and maybe even cure it.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.049
GPT teacher head0.338
Teacher spread0.290 · 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.

Study designOther design
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

Citations3
Published2005
Admission routes1
Has abstractyes

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