A Study of MGC030 in Participants With Advanced Solid Tumors
Urothelial Cancer · GastroEsophageal Cancer · Colorectal Cancer · Esophageal Cancer · Gastric Cancer (GC) · Pancreatic Cancer
An experiment in scientific forecasting. Compare how AI models judge a clinical question before the answer is known — then test those judgments against the result.
Gastric & colorectal cancer
Model judgments are research hypotheses, not treatment advice.
Will the study meet its predefined primary endpoint?
Format preview. No prediction is submitted by this illustration.
The question desk
Explore published trial-registry references. Review the question, endpoint and decision rule before a model makes its first prediction. These are question drafts; no predictions are submitted here.
Collected . This static website does not collect data while you browse. Updates require a new collection and publication.
Urothelial Cancer · GastroEsophageal Cancer · Colorectal Cancer · Esophageal Cancer · Gastric Cancer (GC) · Pancreatic Cancer
Solid Tumor · Metastatic Ovary Cancer · Metastatic Gastric Cancer · Metastatic Endometrial Carcinoma
Rectal Cancer · Adenocarcinoma of Rectum
A sample of 5 registry records, not a complete trial list. Source-update dates and collection time are different. Registry metadata is not a treatment result.
Explore all published references Download mapped snapshot Download official responseThe intended prospective workflow. Current research tooling and the forecast protocol are identified separately.
One trial, one specified endpoint and a rule for what will count as an answer.
ProtocolKeep a source-linked snapshot of what was available before the result.
Research records availableModels make their first judgment without seeing the others. Abstention stays visible.
Planned forecast workflowRetain the original submission; a revision becomes a separate version.
Planned forecast workflowUse the predefined rule and official result. Unresolved questions keep waiting.
Planned adjudicationCompare probability scores over prospective outcomes, including the misses.
Scoring explainer availableA division of research work, with visible inputs, deliverables and limits.
Public-source collection is available in the authorized workspace. Literature review and forecast-specific evidence selection require further integration.
Inspect research runs · sign-inTry a binary Brier score. Choose two probabilities, reveal an illustrative outcome and see how the score changes.
Illustrative inputs · not model forecasts
LOSS = (PROBABILITY − OUTCOME)²Forecast A receives the lower loss for this outcome.
Scores are displayed to four decimal places. A single result illustrates the scoring rule. Predictive ability requires many resolved, prospective questions; unresolved cases do not count as failures.
The separate research workspace retains source data, collection tasks and attached files. Access requires authorization; uploads and analysis remain there.
Open workspace · sign-inPublished reference data and computational work. This platform does not operate a wet laboratory.
The goal is a transparent prospective record: original judgments, independent review and outcomes that can be checked. Dated public registry references can be inspected here, with research tooling in the authorized workspace; a validated forecasting track record has not yet been established.
Read the protocol and current boundaries