Bibliographic record
Abstract
Accessibility of healthcare, 4 Accident and Emergency hospital departments (A&E hospital departments), 50 Accord National Interprofessionnel (ANI), 179 Activity-based funding, 88-89 Activity-based reimbursement of hospitals, 108-111 Acute myocardial infarction (AMI), 49 Adult Social Care (ASC), 44, 51, 53 future challenges, 53-55 Age profiles, 36-37 Agence Nationale d'Accreditation et d'Evaluation en Santé (ANAES), 171-172 Agences Régionales d'Hospitalisation (ARH), 171-172 Aide Compl´ementaire Santé (ACS), 179 Alcohol, 158-159 Ambulatory care, sustainability in, 172-174 Annual co-payment caps, 147 Antibiotics, 177 Antimicrobial resistance (AMR), 177 Association of Directors of Adult Social Services (ADASS), 52 Assurance Maladie (SHI), 168, 184 Austria, 153-155 Austrian Health Targets, 155 Austrian healthcare system, 154-155 challenges, 158-164 healthcare interventions and efficacy, 155-158 Bed blockers, 94 Best practice tariffs (BPT), 50 Bismarck model, 120-121 Bismarckian model, 141, 190 Budget capping, 201-203 Canadian Occupational Performance Measure (COPM), 85 Cancer plan, 15 Cardiovascular diseases (CVDs), 25, 29 by Eastern countries, 30 frequencies by cohorts, 32, 35 Care Act (2014), 51 Care Quality Commission (CQC), 44-45 Catalan autonomous region (CCAA), 196 Catch-up programmes, 95-96 Central Statistics Office (CSO), 68-69 Centralisation reform, 110 Challenges, 83 Clinical Commissioning Groups (CCGs), 44-45 Coefficient of variation (CV), 196-197 Cohort analysis, 26 Collective contracts, 178-179 Colorectal cancer, 8 Commercialisation, 123-124 Commission d'évaluation économique et de santé publique (CEESP), 172, 177 Commissioning for Quality and Innovation framework (CQUIN framework), 50 Community public health objectives, 3 Complementary health insurance (CHI), 168, 170 'employers' provision of, 178-179 sustainability in, 178-181 Conditional order-m FDH approach, 148-149
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.717 | 0.754 |
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".