Tools for Managing Early-Stage Business Model Innovation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OVERVIEW:Standard financial metrics do not provide useful or meaningful evaluations of the potential of early-stage ideas that require business model shifts. Lockheed Martin has developed a two-stage approach that combines a modified risk-return framework with a new concept, Innovation Readiness Levels (IRLs). Using a structure analogous to technology readiness levels (TRLs), IRLs offer a quantitative assessment of the organization's state of readiness to implement a specific business model and a measure of the amount of stress an idea is likely to create for the organization. This evaluation provides a surrogate metric for both required investment and the risk associated with the investment.KEYWORDS:: Portfolio managementInnovation readiness levelsBusiness model innovation
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 it