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Record W4239495028 · doi:10.1177/1074840718755943

Corrigendum

2018· erratum· en· W4239495028 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Family Nursing · 2018
Typeerratum
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
Fundersnot available
KeywordsSentenceRehabilitationNursingPsychologyPoint (geometry)MedicineComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Gottlieb, L. N. & Gottlieb, B. (2017). Strengths-Based Nursing: A Process for Implementing a Philosophy Into Practice. Journal of Family Nursing, 23, 319-340. Doi: 10.1177/1074840717717731 The authors have identified changes to certain sentences, which they believe are important for their article. These edits are outlined below. Page 328, 8 th line from bottom Incorrect sentence: To illustrate, a point-of-care nurse, Jenette Schoon, who works in a long-term children’s rehabilitation hospital had been unhappy with the way family discharge planning meetings has been conducted. Correct sentence: To illustrate, a point-of-care nurse, Jenette Schoon, who works in a long-term children’s rehabilitation hospital wanted to improve how family team goal planning meetings were conducted. Page 330, 12 th line from bottom Incorrect sentence: We chose Hospital for Sick Kids (HSK), a quaternary care hospital, and Holland Bloorview Children’s Rehabilitation Hospital (HB), Toronto, Canada, because they were early adopters of SBN and their institutional values aligned with SBN. Correct sentence: SickKids, a quaternary care hospital, and Holland Bloorview Kid’s Rehabilitation Hospital (HB), Toronto, Canada, because they were early adopters of SBN and their institutional values aligned with SBN. Page 330, 4 th line from bottom Incorrect sentence: In addition, a survey of clinical leaders from HSK and HB was undertaken to assess their learning needs and interest in understanding SBN, as well as the management/leadership concepts and skills that could be offered in a formal SBN management and leadership training program. Correct sentence: In addition, a survey of clinical leaders from SickKids and HB was undertaken to assess their learning needs and interest in understanding SBN, as well as the management/leadership concepts and skills that could be offered in a formal SBN management and leadership training program. Page 334, 15 th line from bottom Incorrect sentence: For example, at HB Nursing Department adopted SBN as their nursing philosophy. Correct sentence: For example, at HB Nursing Profession adopted SBN as their nursing philosophy. Page 334, 12 th line from bottom Incorrect sentence: Dr. Marilyn Ballantyne, HB’s Chief Nursing Executive/Clinical Investigator finds that Strengths-Based Care can help her nursing department achieve the hospital’s vision Correct sentence: HB’s Chief Nursing Executive/Clinician Investigator finds that Strengths-Based Care can help her achieve the hospital vision

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)0.004
metaresearch head score (Gemma)0.065
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.453
Threshold uncertainty score0.781

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.065
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0040.002
Scholarly communication0.0090.005
Open science0.0040.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.4530.397

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 head0.201
GPT teacher head0.445
Teacher spread0.244 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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