Commentary: Numerous, heterogeneous, and often poor—the studies on childhood leukaemia and socioeconomic status
Bibliographic record
Abstract
vonKries R, Gobel U, Hachmeister A, Kaletsch U,Michaelis J. Vitamin K and childhood cancer: a population based case–control study in Lower Saxony, Germany. BMJ 1996;313:199–203. 130 Yeazel MW, Buckley JD,WoodsWG, Ruccione K, Robison LL. History of maternal fetal loss and increased risk of childhood acute leukemia at an early age. A report from the Childrens Cancer Group. Cancer 1995;75:1718–27. 131 ChowW-H, Linet MS, Liff JM, Greenberg RS. Cancers in children. In: Schottenfeld D, Fraumeni JF (eds). Cancer Epidemiology and Prevention. 2nd edn. New York: Oxford, 1996. 132 Borugian MJ, Spinelli JJ, Mezei G, Wilkins R, Abanto Z, McBride ML. Childhood leukemia and socioeconomic status in Canada. Epidemiology 2005;16:526–31. 133 Savitz DA, Wachtel H, Barnes FA, John EM, Tvrdik JG. Case–control study of childhood cancer and exposure to 60-Hz magnetic fields. Am J Epidemiol 1988;128:21–38. 134 Savitz DA. Supplement to contractor’s final report: case–control study of childhood cancer and residential exposure to electric and magnetic fields. Report to the New York State Department of Health, Power Lines Project 218217, 1988. 135 Hartge P, Brinton LA, Rosenthal JF et al. Random digit dialing in selecting a population-based control group. Am J Epidemiol 1984;120:825–33. 136 Poole C, Trichopoulos D. Extremely low-frequency electric and magnetic fields and cancer. Cancer Causes Control 1991;2:267–76. 137 Olson SH, Kelsey JL, Pearson TA et al. Evaluation of random digit dialing as a method of control selection in case–control studies. Am J Epidemiol 1992;135:210–22. 138 Gurney JG, Severson RK, Davis S, Robison LL. Incidence of cancer in children in the United States. Cancer 1995;75:2186–95. 139 Brogan DJ, DennistonMM, Liff JM, Flagg EW, Coates RJ, Brinton LA. Comparison of telephone sampling and area sampling: response rates and within-household coverage. Am J Epidemiol 2001;153: 1119–27. 140 Hatch EE, Kleinerman RA, Linet MS et al. Do confounding or selection factors of residential wire codes and magnetic fields distort findings of electromagnetic fields studies? Epidemiology 2000;11: 189–98. 141 Voight LF, Koepsell TD, Daling JR. Characteristics of telephone survey respondents according to willingness to participate. Am J Epidemiol 2003;157:66–73. 142 Ross JA, Severson RK, Pollock BH et al. Childhood cancer in the United States. A geographical analysis of cases from the Pediatric Cooperative Clinical Trials groups. Cancer 1996;77: 201–07.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".