Bibliographic record
Abstract
Mindy Owen, RN, CRRN, CCM, a Charter Board member and Past President of CMSA and Past Chair and Commissioner of CCMC. She is the Principal of Phoenix Healthcare Associates LLC, Coral Springs, Florida, specializing in case management education and management. Her career in health care has included critical care neurosurgery and rehabilitation. She helped design and implement an SCI-TBI rehabilitation department at Wesley Regional Medical Center in Wichita, Kansas. She was the 1st Midwest Regional Director of C.M. for Intracorp and has developed and directed both acute and MCO CM/DM programs nationwide. Address correspondence to Mindy Owen, RN, CRRN, CCM, Phoenix Healthcare Associates LLC, 4613 Coral Springs, FL 33067. The intent of this column is meant to speak to the heart of case management: our joys, our struggles, and our lessons learned. Please send your thoughts and ideas to us so we may include them in future articles. Mindy Owen at: [email protected]. Teri Treiger at: [email protected]. The author reports no conflicts of interest.
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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 | 0.041 | 0.097 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.022 |
| Scholarly communication | 0.028 | 0.024 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.026 | 0.034 |
| Insufficient payload (model declined to judge) | 0.027 | 0.011 |
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".