Bibliographic record
Abstract
On Being a Doctor5 August 2008Plan-Do-Study-Act Cycle Rejuvenates a MarriageManoj Jain, MD, MPHManoj Jain, MD, MPHFrom QSource, Tennessee's Quality Improvement Organization, Memphis, TN 38115.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-149-3-200808050-00013 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail For nearly 18 years of our marriage, my wife and I had a game. I would say “I love you” on the phone to her, especially when I knew she would be among a group of her coworkers.She would reply giggling, as if I were tickling her, “Me too,” too embarrassed to return the reply in public.“Me too what?” I would prod her.“You know … .”“I am not getting off the phone until you say it,” I would insist.Sometimes I would win the battle, and she would whisper “I love you.” At other times, I ... Author, Article, and Disclosure InformationAffiliations: From QSource, Tennessee's Quality Improvement Organization, Memphis, TN 38115.Corresponding Author: Manoj Jain, MD, MPH, QSource, Tennessee's Quality Improvement Organization, 3175 Lenox Park Boulevard, Suite 309, Memphis, TN, 38115; e-mail, [email protected]com. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited byQuality improvement can revolutionize tuberculosis care in India: A reviewStrategies to overcome barriers to implementing osteoporosis and fracture prevention guidelines in long-term care: a qualitative analysis of action plans suggested by front line staff in Ontario, CanadaAn interdisciplinary knowledge translation intervention in long-term care: Study protocol for the vitamin D and osteoporosis study (ViDOS) pilot cluster randomized controlled trial 5 August 2008Volume 149, Issue 3Page: 209-210KeywordsAdolescentsFearGamesHealth care qualityPerceptionQuality improvementShouldersSoapsSportsTouch ePublished: 5 August 2008 Issue Published: 5 August 2008 Copyright & PermissionsCopyright © 2008 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.038 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.090 | 0.021 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".