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Record W7024426873

Review of Diagnostic Methods

2002· report· en· W7024426873 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks - UA (University of Alaska System) · 2002
Typereport
Languageen
FieldComputer Science
TopicFace and Expression Recognition
Canadian institutionsnot available
Fundersnot available
KeywordsReceiptPlan (archaeology)Principal (computer security)Quarter (Canadian coin)Program evaluationHuman servicesEvaluation methods
DOInot available

Abstract

fetched live from OpenAlex

As part of the conditions of funding the statewide Alaska FAS Prevention Project, SAMHSA requested that the project be evaluated by an independent team of evaluators. This evaluation contract was awarded to the Center for Human Development (CHD) at the University of Alaska Anchorage (UAA), with the request that the evaluation be conducted by an interdisciplinary team of evaluators from across the UAA campus. Staff at CHD subsequently selected various professionals from the UAA community to build the Evaluation Team and to divide the work involved in the evaluation of the FAS Prevention Project. The FAS Project Principal Evaluation Team selection began in February 2001 (3rd Quarter of FY 01 of the grant). In August 2001, a comprehensive evaluation plan was submitted to the FAS Advisory Team and State Office of FAS for review and approval. Following submittal of the evaluation plan application to the University of Alaska Institutional Review Board (IRB) and receipt of funding from the state in August 2001, the detailed actions defined in the Diagnostic Evaluation Plan were initiated in October 2001 (2nd Quarter of FY 02 of the grant). The Alaska Comprehensive and Specialized Evaluation Services (ACSES) was one of the groups approached by CHD to participate as a member of the FAS Project Principal Evaluation Team. ACSES was honored to take on the evaluation of diagnosis-related activities, committing to activities to meet five large goals. One of these goals was the review of FAS diagnostic methods that have been used in Alaska and across the United States. This report provides an update on activities and findings about this goal to date.

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)0.109
metaresearch head score (Gemma)0.418
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: Review · Consensus signal: Review
Teacher disagreement score0.109
Threshold uncertainty score0.574

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1090.418
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0360.022
Science and technology studies0.0040.005
Scholarly communication0.0090.007
Open science0.0080.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0410.014

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 head0.048
GPT teacher head0.300
Teacher spread0.252 · 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
Published2002
Admission routes1
Has abstractyes

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