The prognostic model for identification of the universe rotation axis upon applying the system of coordinates of a chosen galaxy
Bibliographic record
Abstract
This paper describes the theoretical and practical preconditions for identification of the Universe rotation axis using the digital images from ten galaxies and the relative velocities of their movement upon applying a simulation of the parameter z from the Doppler effect formula and a system of polar coordinates. The value of the Doppler parameter z shows an approximate relative velocity of the reciprocal movement of two digital images (objects) in respect of the speed of light in vacuum c. The values of the Doppler parameter z were calculated upon using vectors transformed by pixel intensities of digital images of galaxies cluster and the white solar spectrum. The average values of the Doppler parameter z were calculated according to the created formula upon applying the expressions of cross-covariance functions of the algebraic sum of the relevant transformed vectors and a single vector. The values of the parameter z from the Doppler formula enabled calculating the relative velocity of movement of digital images of the galaxies cluster in respect of each other and the relative velocity of movement of the images in respect of the Solar system. The relative velocity of galaxy movement calculated in such a way is a component of the real relative galaxy movement velocity (the velocity of tangential motion in respect of the rotation curve). In addition, the values of the scalar argument β (the values of the angles between vectors of respective directions of vectors—directions of vectors of galaxies movement in respect of the Solar system and direction of the real galaxies movement vectors) are calculated. In the systems of polar and rectangular coordinates of each galaxy, the values of radii R of galaxies rotation curves (at points of the tangent) and coordinates of their centers were established upon applying the relevant formulas of differential geometry. The calculation data were collected using the software upon applying matlab program package operators.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".