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Record W2792897879 · doi:10.1097/fpc.0000000000000329

Reply to Searcy and colleagues

2018· letter· en· W2792897879 on OpenAlexafffundabout
Chad Bousman, Philip Jaksa, Christos Pantelis

Bibliographic record

VenuePharmacogenetics and Genomics · 2018
Typeletter
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsUniversity of Calgary
FundersNational Health and Medical Research CouncilCumming School of Medicine, University of Calgary
KeywordsMental healthNeuropsychiatryLibrary scienceMedicinePsychiatry

Abstract

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aDepartment of Psychiatry, Melbourne Neuropsychiatry Centre bFlorey Institute of Neuroscience and Mental Health, The University of Melbourne cNorth Western Mental Health, Melbourne Health, Parkville dAlfred Health, Melbourne eDepartment of Electrical and Electronic Engineering, Centre for Neural Engineering, University of Melbourne, Carlton South, Victoria, Australia fDepartment of Medical Genetics, Psychiatry, Physiology and Pharmacology, University of Calgary, Calgary, Alberta, Canada Correspondence to Chad A. Bousman, MPH, PhD, Department of Medical Genetics, University of Calgary, 228 HMRB, 3330 Hospital Drive NW, Calgary, AB, Canada, T2N 4N1 Tel: +1 403 441 8409; e-mail: [email protected] Received February 2, 2018 Accepted February 6, 2018

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.543
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.281
Teacher spread0.257 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2018
Admission routes3
Has abstractyes

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