Consideration in the Reconstruction of 3D atomic Structure from X-Ray
Bibliographic record
Abstract
Patient navigation has been proposed as a novel family-centered, integrated care model to address the care needs of persons living with dementia and their family caregivers by helping them navigate the complex range of dementia services offered in hospital and community settings. A key informant qualitative descriptive study explored the perspectives of 48 healthcare professionals to explore the need for dementia-specific patient navigation. Data were analyzed thematically. We identified one overarching theme: "Variability in the Need for Illness-Specific Patient Navigation" and five themes that highlight considerations when providing navigation to individuals with dementia: (1) Taking Part in Ongoing Training, (2) Addressing Stigma, (3) Focusing on Quality of Life, (4) Defining Home, and (5) A Continuous Process of Support. These themes provide preliminary insights into the conceptual differences about the need for illness-specific patient navigation and the areas within patient navigation where healthcare professionals are encouraged to find consensus.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".