General Principles of Head and Neck Cancer Management
Bibliographic record
Abstract
Summary Head and neck cancers are a global health problem, but particularly in South‐East Asia. These are a heterogeneous group of tumours which include squamous cell carcinoma (or its variants) of the oral cavity, oropharynx, nasopharynx, paranasal sinuses, larynx and hypopharynx. Important aetiological agents are tobacco, areca nut and alcohol. Human papillomavirus (HPV) is emerging as a major factor in the West, predominantly in relationship to cancers of the oropharynx. Nasopharyngeal cancers have been attributed to Epstein‐Barr virus (EBV) in endemic areas. Despite a variety of subsites included under the head and neck cancer rubric, the broad principles of management are essentially the same, although they are profoundly influenced by the anatomical imperative of preserving form and function, as well as disease control. This chapter focuses on these principles. Specific issues are covered in respective chapters.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.039 | 0.025 |
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".