The Computer Brain Atlas: lts Use in Stereotaxic Surgery
Bibliographic record
Abstract
Difficulties are often encountered in plotting the position of stereotaxic probe tracts against available human brain atlases because of differences in the dimensions of the patient and the atlas brain and because probe tracts are usually oblique to the planes of the atlas. This problem is compounded by the use of curved side electrodes protruding at an angle from the probe tip. To facilitate this task during surgery a Digital Equipment Corporation PDP-12 Computer has been programmed to display on the Tektronix type 4002 ‘Computer Graphics Terminal’ any of 48 of the stereotaxic brain maps of the Schaltenbrand and Bailey atlas including their legends with slight modifications. Any dimension of these maps can then be individually compressed, expanded or shifted to match the patient''s actual measurements as determined on the ventriculogram (intercommissural distance thalamic height width of the third ventricle etc). After selection of the target site on the appropriate map display and given the angles of approach as read on the stereotaxic instrument the probe tract can be shown in relation to any corrected atlas map in any of the three planes of space the portion of the probes extending beyond the displayed plane appearing in dotted outline on the terminal viewing screen. The shape and dimensions of the therapeutic lesion can also be displayed. The loci at which particular physiological phenomena are encountered can be labeled and stored on tape or disk memory by the computer for future display and analysis. Any display can be photographed with a Polaroid camera or drawn on paper with a ‘Complot DP-1-N2’ incremental plotter for permanent record. The same computer programme can also be used to store animal stereotaxic brain maps in the experimental laboratory and to correct them for varying head sizes within the same species.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.084 | 0.042 |
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".