Data Archive from the MX3D Bridge in Amsterdam
Bibliographic record
Abstract
Data Archive from the MX3D Bridge in Amsterdam This DOI refers to the data collected from the 3d-printed bridge from MX3D in Amsterdam from ~June 2021 – 6th July 2023. Contained within this DOI is a set of metadata that outlines the specifics of the sensors that were used to collect the data. Breakdown of (zipped) directory structure "Calibration_Info" Folder: This directory includes the manufacturer's sensor datasheets and houses two subdirectories: "CXTA01-T" and "CXL04GP3-R-AL", each containing calibration factor files specific to inclinometers and accelerometers, respectively. "26102020 MX3D Bridge Sensor System" Spreadsheet (.xlsx): This spreadsheet enumerates the sensors, cataloging critical details such as measurement direction, location, and associated data modules. "Sensor Layout" PDF (.pdf): A document depicting the layout of sensors on the MX3D bridge, with "North" and "South" annotations pertaining to the bridge's orientation in Amsterdam. "Sensor Layout with Surroundings" PDF (.pdf): An enhanced version of the Sensor Layout document, this PDF includes additional annotations regarding the surrounding bars to provide context to the sensor locations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.044 |
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".