Bibliographic record
Abstract
Authors' Appointments.SECTION ONE: INTRODUCTION, AND OVERVIEW OF DIAGNOSIS, BIOLOGY AND THERAPY.1.INTRODUCTION: Eddy Estlin (Royal Manchester Children's Hospital) and Stephen Lowis (The Hopsital for Sick Children).2.THE EPIDEMIOLOGY OF PAEDIATRIC CNS TUMOURS: GA Amos Burke (Cambridge University Hospitals NHS Trust).3.PAEDIATRIC CNS TUMOURS: NEUROIMAGING: Shelley Renowden (Frenchay Hospital).4.PATHOLOGY AND MOLECULAR ONCOLOGY OF CHILDHOOD CNS TUMOuRS: Lucy B Rorke-Adams (University of Pennsylvania) and Jaclyn A Biegel (The Children's Hospital of Philadelphia).5.MOLECULAR APPROACHES TO THE UNDERSTANDING AND TREATMENT OF CHILDHOOD CNS TUMOuRS: Richard J Gilbertson (St Jude Children's Research Hospital).6.SURGICAL MANAGEMENT OF CNS TUMOURS IN THE PAEDIATRIC POPULATION: Jerard Ross (Royal Hospital for Sick Children) and John Thorne (Royal Manchester Children's Hospital).7.GENERAL PRINCIPLES OF RADIOTHERAPY: Eddy Estlin (Royal Manchester Children's Hospital) and Stephen Lowis (The Hospital for Sick Children).8.GENERAL PRINCIPLES OF CHEMOTHERAPY: Eddy Estlin (Royal Manchester Children's Hospital).9.MANAGEMENT OF COMPLICATIONS AT PRESENTATION FOR CHILDREN WITH CNS TUMOURS: Stephen Lowis (The Hospital for Sick Children).SECTION TWO: CNS TUMOURS OF CHILDHOOD.10.LOW-GRADE AND HIGH-GRADE ASTROCYTOMA: Eddy Estlin (Royal Manchester Children's Hospital) and Stephen Lowis (The Hospital for Sick Children).11.EPENDYMOMA: Ute Bartels (Hospital for Sick Children), Douglas J Hyder (Hospital for Sick Children), Annie Huang (Hospital for Sick Children) and Eric Bouffet (Hospital for Sick Children).12.BRAINSTEM TUMOURS: Carolyn R Freeman (McGill University) and Jean-Pierre Farmer (McGill University).13.PRIMITIVE NEUROECTODERMAL TUMOURS: Stephen Lowis (The Hospital for Sick Children).14.INTRACRANIAL GERM CELL TUMOURS: Susanne J Rogers (Institute of Cancer Research) and Frank H Saran (Royal Marsden NHS Foundation Trust).15.CHOROID PLEXUS PAPILLOMA AND CARCINOMA: Stephen Lowis (The Hospital for Sick Children).16.CRANIOPHARYNGIOMA: Eddy Estlin (Royal Manchester Children's Hospital).17.MIXED NEURONAL TUMOURS: Eddy Estlin (Royal Manchester Children's Hospital).18.SPINAL CORD TUMOURS IN CHILDREN: Douglas J Hyder (Hospital for Sick Children), Peter B Dirks (Hospital for Sick Children), Ute Bartels (Hospital for Sick Children) and Eric Bouffet (Hospital for Sick Children).19.METASTATIC DISEASE AFFECTING THE CNS: Stephen Lowis (The Hospital for Sick Children).SECTION THREE: LATE EFFECTS, REHABILITATION AND PALLIATIVE CARE.20.LATE EFFECTS OF CNS TUMOURS: Adam Glaser (Leeds Teaching Hospitals NHS Trust) and Gary Butler (University of Reading).21.AN OVERVIEW OF CEREBRAL FUNCTIONING AND ITS APPLICATION IN THE DEVELOPING BRAIN: Andrew Curran (Alder Hey Children's Hospital).22.PALLIATIVE CARE: Erica Mackie (Southampton General Hospital).SECTION FOUR: SUMMARY.23.CONCLUSIONS AND FUTURE DIRECTIONS
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 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".