7th Annual CANM IOM symposium Toronto, Ontario, Canada September 19-20, 2014Intraoperative neurophysiological monitoring in spine surgery: indications, efficacy, and role of the preoperative checklist.Augmentation of motor evoked potentials using multi-train transcranial electrical stimulation in intraoperative neurophysiologic monitoring during spinal surgery.Comparison of the Wake-up Test and Combined TES-MEP and CSEP Monitoring in Spinal Surgery.Effects of partial neuromuscular blockade on facial nerve monitorization in otologic surgery.Intraoperative neurophysiological monitoring in anterior lumbar interbody fusion surgery.Intraoperative motor evoked potential monitoring - a position statement by the American Society of Neurophysiological Monitoring.Preoperative characteristics of auditory brainstem response in acoustic neuroma with useful hearing: importance as a preliminary investigation for intraoperative monitoring.Intraoperative neurophysiological monitoring of the spinal cord during spinal cord and spine surgery: a review focus on the corticospinal tracts.Spinal cord mapping as an adjunct for resection of intramedullary tumors: surgical technique with case illustrations.Topographic movie of intracranial ictal high-frequency oscillations with seizure semiology: epileptic network in Jacksonian seizures.Low-threshold monopolar motor mapping for resection of lesions in motor eloquent areas in children and adolescents.
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 7th Annual CANM IOM symposium was held in Toronto, Canada, on 19th-20th September 2014. The topics covered included intraoperative neurophysiological monitoring (IONM), anesthesia, brain mapping, spine surgery, EMG, EEG, and many others. The symposium provided a unique and interactive learning experience with case studies, internationally recognized speakers, and updates on the CANM Education Program.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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