Synchro <scp>HARBORcenter</scp> Case Study
Bibliographic record
Abstract
Synchro HARBORcenter Case StudyThe 4D Synchro model for the HARBORcenter project was initially developed during the pursuit efforts of the project.This model was created in collaboration with the design team and HARBORcenter Development for the proposal presentation.HARBORcenter is a multi-use facility located in downtown Buffalo, New York.Once opened, this facility will host an elite-level training academy for hockey athletics in both the United States and Canada.The facility includes a five-level above-grade parking structure, two NHL-quality ice sheets, a sports bar and grill on ground level, two tenant spaces, and a full-service, 200-key, Marriott Hotel.The project was scheduled to have a phased occupancy: September of 2014 for the Parking/Ice Program and May of 2015 for the Hotel.Still under construction, the project's Synchro model is maintained on a weekly basis to support schedule visualisation for the OAC meetings and the weekly subcontractor meetings.Additionally, the weekly Synchro model update was defined to align with the weekly schedule update performed by the onsite scheduler and project superintendent.Recent model updates include the addition of site logistics items, notably the material hoist on Main Street and the concrete placing boom for the hotel tower, and the inclusion of the second shift schedule.Additionally, the model has been shared with the Owner's group, and has been utilised by the Buffalo Sabres' NHL team during pre-game and intermission commercials.Mortenson provided an AVI export enabling the Sabres' communications Construction Manager's BIM Handbook, First Edition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".