Bibliographic record
Abstract
Note: page numbers in italics refer to figures, those in bold refer to tables activities, return to following illness 171 acute lymphoblastic leukaemia (ALL) 17-18, 61 BFM-type therapy 63, 64, 65 biological characteristics 62 B-precursor 24, 62 CCG-1882 Protocol 65, 66, 67 clinical characteristics 62 clinical trials 41 epidemiology 62 favourable cytogenetics 69 incidence rate 84, 86 by sex 21 Ph + 62, 69 survival event-free 61, 63, 67, 68 in France 47 T-cell 62 therapeutic protocols in France 48 toxicity of therapy 68-9 treatment outcomes 38, 61, 62-3, 65, 66, 67-8, 69 TYA group 42 acute myeloid leukaemia (AML) 17-18 aetiology 25 clinical trials 41 incidence rates by sex 21 temporal trends 23 outcome 38 second malignancy 79 adaptation difficulties 168 repressive styles 189 adjustment psychology of 180-1 psychosocial 194 adolescence challenges 184 control 184 definition 83 diagnosis impact 217-19 palliative care 206 -10 psychosocial consequences of cancer 183-97 see also teenage and young adult (TYA) group adrenocortical carcinoma 20, 22 adult centres, adolescent referral 51 adult oncologists 233-4 adult oncology services 279 adult oncology teams care paradigms 249-50 multidisciplinary 260 older teenagers 246 -7 advocacy 211 aetiological factors 24 -6 genetic 26 -7 age, incidence rates 15, 16 alkylating agents, gonadotoxicity 136, 137 allografts in osteosarcoma 126 -7 American College of Surgeons Tumor Registries 41-2 amputation body image 155-8, 161 osteosarcoma 123, 125, 128 anthracycline, cardiac toxicity 79 anti-CD20 antibody 93 antiemetics 91 anti-Mullerian hormone (AMH) 141 anxiety 190 diagnosis response 186 post-traumatic stress disorder 173 survival response 188 survivors 192-3 anxiolytics, Hodgkin's disease therapy 91 APC gene, germ-line mutations 27 Index Cancer and the Adolescent, 2 nd Edition
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.736 | 0.548 |
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".