First Report of M-My Mind Study
Bibliographic record
Abstract
Multiple myeloma (MM) is a heterogeneous and incurable disease considered the second most common hematologic malignancy globally.The incidence, prevalence, and mortality worldwide are well-known thanks to the data reported by the International Agency for Research on Cancer (IARC) and by the Global Cancer Observatory GLOBOCAN.Our objective was to estimate the incidence, prevalence, and mortality of MM in Colombia in this work.The total population diagnosed with multiple myeloma (ICD Code 10 C900) during the 2008-2018 period was used, which was included in the RIPS (Registro Individual de Prestación de Servicios) in Colombia.The standardized incidence and prevalence rates for Colombia in 2018 were 1.79 (CI 1.76-1.81)and 8.97 x 100,000 inhabitants/year (CI8.94-8.99),respectively.The age-standardized mortality rate for Colombia was 1.39 x 100,000 inhabitants (1.36-1.41)(adjusted with the population of the United States).The prevalence was higher than that reported by other sources and is comparable with those of the whole world, North America, and Spain.MM must be one of the cancers in which epidemiology must prioritize and organize health cancer care due to the ageing population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".