The AlphaACT Decision Support System for Emergency Responders
Bibliographic record
Abstract
We first present cognitive psychological theories relevant to crisis decision making. Next we describe the AlphaACT™ (Alpha Advanced Crisis Technology) decision support system, a software application designed to support a range of military and civilian emergency responders. The essential components of the system are as follows: (a) a user interface that walks the decision maker through a multi-step decision process inspired by the recognition-primed decision model and case-based reasoning theory; (b) a pattern recognition engine that prompts the user for diagnostic information and retrieves similar cases; and (c) a community-wide shared knowledge base of cases that grows as the system is used. AlphaACT's objective is to train and enable responders in crisis situations to think like experienced decision makers, and to quickly build their store of available experiences. The first AlphaACT application under development will support key decisions made by first responders managing a hazardous materials emergency.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".