Integrated interpretation of the Blake River Group using geophysical data from metal earth's Rouyn-Noranda transect, Quebec
Bibliographic record
Abstract
The study of crustal structure in Precambrian greenstone belts is crucial for understanding of mineral deposits and their genesis. This thesis takes on an integrated interpretation of geophysical data for Metal Earth’s Rouyn-Noranda transect as part of a large collaborative research. Regional scale seismic reflection, magnetotelluric and gravity data as well as magnetic and surface geology maps are used to conduct the study. The seismic reflection data was enhanced by the application of the curvelet enhancement method and seismic attributes for to improve interpretation ability. Two sets of density models were used, namely, constrained and unconstrained models. A 2-D conjugate gradient inversion of Magnetotelluric data was done after the phase tensor and skew angle were analyzed to determine dimensionality and directionality. The data was interpreted together in the form of integrated \ninterpretation in order to understand the structure and architecture of the crust along the transect. The seismic data is characterized by poorly reflective upper crust, strongly reflective mid crust, exhibiting complex reflection structure sub-horizontal reflections truncated by gently dipping reflections. The lower crust is characterized by sub-parallel reflections \nwith weak continuity. The magnetotelluric model is characterized by a resistive upper crust with conductive pathways penetrating through the resistive bodies; and a conductive mid-to-lower crust. Integration of the data reveals a good correlation between the data sets and the upper crustal conductive conduits correlate directly with surface geology map structures \na well as lineations from the magnetic map. The highly reflective mid crust correlates with the conductive feature in the mid crust in which the correlation is attributed to partial melts in the mid-crust. The density models also show a good correlation with the seismic data and were used to constrain the depths and dimensions of plutonic rocks along the transect.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".