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Record W4386278571 · doi:10.1055/a-2158-9744

Correction: Lithium Therapy in Old Age: Recommendations from a Delphi Survey

2023· erratum· en· W4386278571 on OpenAlexaff
Julia Christl, B. Müller‐Oerlinghausen, Michael Bauer, Daniel Kamp, Fabian Fußer, Jens Benninghoff, R. A. Fehrenbach, Christian Lange‐Asschenfeldt, Michael A. Rapp, Bernd Ibach, Rainer Schaub, Axel Wollmer, Timm Strotmann-Tack, Michael Hüll, Susanne Biermann, Katharina Roscher, Bernd Meissnest, Alexander Menges, Bernd Weigel, Dorothee Maliszewski-Makowka, Christian Mauerer, Martin Schaefer, Beate Joachimsmeier, Sarah Kayser, Lars Christian Rump, Tillmann Supprian

Bibliographic record

VenuePharmacopsychiatry · 2023
Typeerratum
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsLithium therapyDelphi methodDelphiLithium (medication)PsychologyMedicineFamily medicineMedical physicsPsychiatryComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Correction to: Lithium Therapy in Old Age: Recommendations from a Delphi SurveyPharmacopsychiatry eFirstDOI: 10.1055/a-2117-5200

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.053
GPT teacher head0.360
Teacher spread0.307 · 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
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

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