Analysis of BIoT-Based Energy Business in the City of Montreal—Lessons Learned for Broader Markets
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
The internet of things (IoT) is considered one of the fastest-growing topics attracting the attention of the technological world. Building internet of things (BIoT) focusses on the IP-marked components of a building, connected to the network (internet), generating and collecting data, or executing orders autonomously and sim-autonomously. BIoT encompasses various classes of applications including energy, water, building automation, security and fire protection. The success of BIoT solutions, however, relies highly on the business outcomes expected from implementing them. The present study focuses on building energy solutions (and the associated building automation applications). In an attempt to formulate a high-level and generic business model, this paper uses Osterwalder business canvas as a framework, and compiles extensive number of case studies in the city of Montréal, QC. Experts opinions are sought through survey questionnaires to enhance, validate, and verify the model, and provide an overview of the BIoT market in Montreal. Our model provides an opportunity to explore other classes of BIoT and move towards formulating generic business model canvas for IoT in building sector.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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