Gravity data acquisition and potential-field data modelling along Metal Earth's Chibougamau transect using geophysical and geological constraints
Bibliographic record
Abstract
The Metal Earth (ME) project aims to understand the underlying geological mechanisms that \ndifferentiate mineral endowments in Precambrian greenstone belts of the Canadian Shield. The \nME project acquires and collates various geological and geophysical data along 13 transects to \ncreate valid models of subsurface features in order to identify components that contribute to the \nmineralization processes that result in mineral endowment. \nIn this thesis, gravity observation along ~128 line kilometers in the Chibougamau transect is \nconsidered. The acquired data were checked for quality, processed to calculate the complete \nBouguer anomaly and combined with existing gravity data provided by the Geological Survey of \nCanada. \nGravity and compiled magnetic data were forward modelled along four sections and constrained \nby surficial geological observations, seismic sections, and petrophysical properties to estimate \nand improve the geometry and depth of plutonic bodies, and identifying the subsurface features \nsuch as dykes and faults. These improvements will help others to identify components that \ncontribute to mineralising processes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".