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Record W185244078 · doi:10.1093/pch/13.10.845

The 18-month well-child visit in primary care: Clinical strategies for early intervention

2008· article· en· W185244078 on OpenAlexaff
Patricia Mousmanis, William J. Watson

Bibliographic record

VenuePaediatrics & Child Health · 2008
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsSt. Michael's HospitalUniversity of TorontoMcMaster UniversityCollege of Family Physicians of Canada
Fundersnot available
KeywordsIntervention (counseling)Psychological interventionPrimary careMedicinePromotion (chess)Early childhood interventionEarly childhoodNursingChild developmentHealth promotionFamily medicinePsychologyDevelopmental psychologyPsychiatryPublic health

Abstract

fetched live from OpenAlex

Family physicians, paediatricians, nurse practitioners and all primary health care providers are well-positioned in the health care system to provide identification and intervention for developmental delay in early childhood. This can be accomplished through the promotion of healthy child development by supporting children and their parents, paying special attention to issues of attachment and parent-child interactions. Early recognition and intervention is critical for addressing all developmental, social and behavioural problems in young children. A familiarity with local community resources and services is crucial; it will assist primary health care providers in supporting families by providing extra assistance and assessment for families at risk. The present article reports on the evidence-based interventions at the 18-month visit including screening tools, resources and a case example. The importance of interdisciplinary coordination to provide a comprehensive approach to screening, assessment and intervention for developmental delays in infants and young children is highlighted.

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)0.005
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: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.047
GPT teacher head0.361
Teacher spread0.314 · 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
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

Citations14
Published2008
Admission routes1
Has abstractyes

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