Prospective Descriptive Study of RFID Tag Detection Rates based on Various Exploratory Scenarios Aimed at Identifying Optimal Conditions of Use
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
Abstract Objective The main objective is to evaluate RFID tags detection rates using various exploratory scenarios in order to identify optimal conditions of use. The secondary objective is to evaluate RFID tags detection rates based on a real-life scenario involving a cardiorespiratory resuscitation drug tray used within our institution in order to identify optimal conditions of use. Background The traceability of goods has been a subject of interest for more than a century. Traceability makes it possible to locate goods at every step in the chain from production through to disposal. Just as with other Automatic Identification and Data Capture technologies, radio frequency identification (RFID) is used to increase the traceability of objects. Results Seven variables that could influence RFID tags detection rates were evaluated in eight exploratory scenarios. Optimal detection parameters allowing to a 100 % detection rate were identified: a 10-second reading time; a reading distance of 10 cm; parallel orientation of reader-antenna and at least two back and forth readings for a total of 6 sec were required for optimal reading. Detection rates decreased after 100 RFID tags and it were not affected by the shape of the RFID tags. Reader-antenna and RFID tag interferences resulted from aluminum paper or RFID tags that touched one another. RFID tag detection rates obtained per operator were similar. Regarding real-life scenarios, detection rates increased with reading times and a plateau effect was observed after 10 sec. Undetected elements varied and non-detection was almost always related to the proximity of two RFID tags rather than the nature of the items read. Conclusion To our knowledge, this is the first prospective descriptive study that compares RFID tag detection rates based on various exploratory scenarios in order to identify optimal conditions of use. Such results can be used to develop a software application supporting drug replenishing through RFID in the drug use process.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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