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Record W2328793369 · doi:10.1097/ncm.0b013e318209a01a

Finding Common Ground in Case Management

2011· article· en· W2328793369 on OpenAlexaff
Annette C. Watson

Bibliographic record

VenueProfessional Case Management · 2011
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsCertificationAccreditationCommissionWatsonSuiteCase managementManagementBusinessWeb siteLibrary scienceEuropean commissionComputer sciencePolitical scienceWorld Wide WebProcess managementEuropean unionLawArtificial intelligenceThe InternetFinance

Abstract

fetched live from OpenAlex

Annette C. Watson, MBA, RN-BC, CCM, is Chair of the Commission for Case Manager Certification (CCMC), the first and largest nationally accredited organization that certifies case managers. (For more information on CCMC, visit the Web site at www.ccmcertification.org.) She is also Managing Director of Global Emerging Business for CARF International, a leading accreditor of health and human services programs worldwide. Address correspondence to Annette C. Watson, MBA, RN-BC, CCM, Commission for Case Manager Certification, 15000 Commerce Parkway, Suite C, Mount Laurel, NJ 08054 ([email protected]).

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)0.228
metaresearch head score (Gemma)0.453
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.228
Threshold uncertainty score0.952

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2280.453
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0180.010
Science and technology studies0.0170.042
Scholarly communication0.0240.038
Open science0.0070.039
Research integrity0.0080.013
Insufficient payload (model declined to judge)0.0080.002

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 head0.395
GPT teacher head0.514
Teacher spread0.119 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations7
Published2011
Admission routes1
Has abstractyes

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