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Record W4388091062 · doi:10.37349/eaa.2023.00016

Precision medicine: how to approach the adolescent asthmatic

2023· article· en· W4388091062 on OpenAlexaff
Alan Kaplan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsCollege of Family Physicians of CanadaTD Bank Group
Fundersnot available
KeywordsAsthmaAffect (linguistics)Independence (probability theory)Adolescent medicineStigma (botany)Social stigmaPsychologyMedicineDevelopmental psychologyPsychiatryClinical psychologyFamily medicineImmunologyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

It is well known that adolescent patients often have less than optimal outcomes. Adolescence is a time of much transition, physically, emotionally, and socially all of which have effects on asthma management and outcomes. Pubertal changes affect asthma, but mostly it is the move towards independence from the parents, peer pressures, stigma of illness, and adherence issues that cause the issue. It is thus important to learn to treat the patient directly, wherein currently often children are treated through the parent, to ensure success.

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)0.012
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.005
Scholarly communication0.0060.010
Open science0.0030.005
Research integrity0.0090.017
Insufficient payload (model declined to judge)0.0140.008

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 head0.032
GPT teacher head0.299
Teacher spread0.267 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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