3-D Gravity Geometry Inversion of the Matheson Area, Abitibi greenstone belt: maintaining the contacts of one of the geological unit fixed for obtaining superior results.
Bibliographic record
Abstract
Using measured density values and surface geology as constraints, and a compilation of two data sets of ground gravity as observed data, 3-D inversions using the VPmg algorithm were used to estimate the subsurface model in the Matheson area, which is located in the southern part of the Abitibi greenstone belt, Canada. Besides the aforementioned constraints, the contacts of the Porcupine metasedimentary assemblage (one of the 9 geological units presented in the study area) were fixed during the inversion. This was because priori 2-D forward modelling had derived a model also consistent with reflection seismic data. When the Porcupine assemblage contacts were free to move, the thickness was judged to be geologically unrealistic. However, when the Porcupine assemblage contacts were fixed, the model was realistic and there was a smaller misfit between predicted and observed data. The criteria to judge whether a model was realistic or unrealistic was the geological likelihood of the geometries and depths of the geological units that are obtained from an inversion.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".