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Record W4248327033 · doi:10.1002/cpu.20043

Table of Contents

2007· article· en· W4248327033 on OpenAlexaboutno aff

Bibliographic record

VenueThe Brown University Child & Adolescent Psychopharmacology Update · 2007
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
Fundersnot available
KeywordsAtomoxetineMethylphenidateRisperidonePsychiatryMoodFluoxetineMedicineAdverse effectIsotretinoinAttention deficit hyperactivity disorderPsychologySchizophrenia (object-oriented programming)PharmacologyInternal medicineDermatology

Abstract

fetched live from OpenAlex

Abstract AACAP Releases New Evidence‐Based Guidelines for Screening, Evaluation and Treatment of ADHD Canadian Analysis Finds Diversion of Stimulants Associated with Presence of Undertreated ADHD Overview of AACAP's 13 Recommendations for ADHD Best‐Treatment Practices Fluoxetine May Improve ADHD Symptoms and Comorbid Non‐Bipolar Mood Disorders Atomoxetine for ADHD: Results from the SUNBEAM Trial Global ADHD Drug Use Nearly Triples Severe Adverse Events Following Risperidone‐to‐Methylphenidate Switch New FDA Web Page Warns Against Online Purchase of Isotretinoin (Accutane)

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.220
Threshold uncertainty score0.314

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7800.658

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 head0.021
GPT teacher head0.294
Teacher spread0.273 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2007
Admission routes1
Has abstractyes

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