Adult Laparoscopic Partial Nephrectomy for Renal Cell Carcinoma
Bibliographic record
Abstract
Renal cell carcinoma (RCC) is the most common malignancy of the kidney and accounts for approximately 3% of adult cancers [1]. The incidence rate has steadily increased over the last three decades, particularly among African-Americans [2]. During 2009, it is estimated that approximately 57,760 new cases of kidney cancer will be diagnosed and 12,980 people will die of the disease in the United States [3]. With a 35% 5-year mortality, RCC is the most lethal urological malignancy [4]. The improvement in and increased application of cross-sectional imaging modalities have led to an increase in the incidental detection of renal masses. Historically, radical nephrectomy has been described as the standard surgical therapy for renal masses. With a better understanding of the heterogeneity of tumor biology and advancement of surgical technique, treatment options have evolved to include surveillance, ablation, and minimally invasive nephron-sparing techniques.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".