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Record W2594247142

Fostering Insight and Collaboration in Long-Term Healthcare through Collection and Visualization of Qualitative Healthcare Data

2014· other· en· W2594247142 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2014
Typeother
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHealth careUsabilityScope (computer science)AnalyticsQualitative researchVisualizationVisual analyticsData visualizationComputer scienceKnowledge managementData scienceData collectionStructuringHuman–computer interactionSociologyBusinessData mining
DOInot available

Abstract

fetched live from OpenAlex

The Care and Condition Monitor (CCM) is a tablet-based, networked visual analytics tool for collecting, structuring and analyzing informal and qualitative healthcare data. Building off research into application usability and best practices for communicating complex information, CCM illustrates how visual analytics tools coupled with social communication within teams of caregivers enables capturing of longitudinal informal data that would otherwise go unrecorded. This expanded scope of information can support medical decision making by making it possible to analyze informal and qualitative health care data,creating a multi-dimensional holistic picture of a person‟s health care and condition over time.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0020.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.212
GPT teacher head0.459
Teacher spread0.248 · 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