<i>Cui bono</i> ? Is Australia taking a step to managed healthcare as in the United States?
Bibliographic record
Abstract
The Australian Competition and Consumer Commission (ACCC, 2021) is an independent statutory body that oversees competition and fair trading. It is currently reviewing an application by Honeysuckle Health (HH) and NIB to form and operate a buying-group to negotiate and manage contracts with healthcare providers on behalf of private health insurers (PHIs). HH is a joint venture of Australian health insurer NIB and Cigna Corporation, a global health services company based in the United States. Individual practitioners and healthcare providers have registered their concerns with the ACCC about the possible effects on choice and autonomy for patients and healthcare providers. The ACCC has released a draft determination that is broadly supportive of the proposal based on the balance of risks and benefits. We discuss the policy implications for patients and private psychiatrists in Australia.
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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 | 0.011 | 0.058 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.025 | 0.029 |
| Insufficient payload (model declined to judge) | 0.014 | 0.010 |
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".