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Record W2965307520 · doi:10.1097/ncm.0000000000000384

The Transdisciplinary Team Evolution: Moving From “What I Do” to “What the Patient Needs”

2019· article· en· W2965307520 on OpenAlexaff
Vivian Campagna, Sheila A. Nelson

Bibliographic record

VenueProfessional Case Management · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsNational Capital Commission
Fundersnot available
KeywordsCertificationCommissionAccreditationManagementOfficerCase managementBusinessPatient carePolitical sciencePublic relationsNursingMedicineLawProcess management

Abstract

fetched live from OpenAlex

Vivian Campagna, MSN, RN-BC, CCM, is the chief industry relations officer (CIRO) for the Commission for Case Manager Certification, the first and largest nationally accredited organization that certifies more than 45,000 professional case managers and more than 2,600 disability management specialists. Vivian has been involved in case management for more than 25 years, holding staff and administrative positions on both the independent and acute care sides of the industry. Sheila A. Nelson, MSN, RN, CCM, is a CCMC commissioner and also a clinical practice specialist, Care Management Programs and Strategies, for Kaiser Permanente Washington. Address correspondence to Vivian Campagna, MSN, RN-BC, CCM, Commission for Case Manager Certification, 1120 Route 73, Ste 200, Mount Laurel, NJ 08054 ([email protected]). The authors report no conflicts of interest.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.034
GPT teacher head0.373
Teacher spread0.339 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations4
Published2019
Admission routes1
Has abstractyes

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