Summary of clinical-pathological characteristics of studies reporting associations between +p53-AAbs and survival in ovarian cancer.
Bibliographic record
Abstract
<p>↓: diminished</p><p>↑: increased; p53-AAbs: p53 autoantibodies; y: years; m: months; FIGO: International Federation of Gynecology and Obstetrics; NOS: Newcastle-Ottawa Quality Assessment Scale; perc.: percentile; Uni: univariate; Multi: multivariate; NA: Not Available; TRI: Time-resolved immunofluorimetric assay; S: Serous; U: Undifferentiated; M: Mucinous; C: Clear cell; E: Endometroid; Mx: Mixed; P: Papillary; O: Other; G1: well differentiated; G2: moderately differentiated; G3: poorly differentiated; G4: undifferentiated;Rx: Residual tumour size indefinite</p><p><sup>1</sup>NOS score (range, 1–9) was assigned only to the included studies</p><p><sup>2</sup>53/130 patients enrolled prior to first surgery</p><p><sup>3</sup>all these patients (N = 43) had III-IV FIGO stage</p><p><sup>4</sup>46/99 patients enrolled prior to first surgery</p><p><sup>5</sup>Follow-up data available for patients dead and alive</p><p><sup>6</sup>data available only for patients with serous tumour histotype.</p><p>Summary of clinical-pathological characteristics of studies reporting associations between +p53-AAbs and survival in ovarian cancer.</p>
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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 | 0.001 | 0.017 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".