Bibliographic record
Abstract
The article is intended to propose the new technique for analysis and visualization of vectorcardiograms based on the 3D phase diagrams. The regular Frank 3D lead system was considered as the signal source to construct 3D vector space. The three cardio signals from the lead system, representing the currents in the body, and the three integrated in time signals, representing the corresponding charge flows, were used to form 3D phase diagram. This diagram is considered as a new compact description of the dipole object properties in the 3D space, combining simultaneously information about the charge movements and the changes in values and orientation of the current. The regular properties, like the angular momentum of the charge flow and the dipole strength vectors and their covariance can be evaluated from the real vectorcardiogram. Based on the set of vectorcardiograms for 8 healthy controls and 7 myocardial infarction patients the 3D phase diagrams and their statistical parameters are evaluated and discussed. An example is given of the technique implementation for the comparison of the 3D phase diagrams in a control and a myocardial infarction patient.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".