ການສຳຫວດແຮເຫກ ໂດຍໃຊ ຢເອວ ບນສຳຫວດ ທງແມເຫກ
Bibliographic record
Abstract
Unmanned Aerial Vehicle (UAV) Magnetic Survey for Economic Mineral Deposits Investigation is the modern technique used for jungle, high terrain, and hard-to-reach areas with an effective cost compared to ground magnetic survey. The main objective of this study is to define the boundary and structure of iron ore bodies at Nonsaad Village, Laung Phabang District, and Laung Phabang Capital using an UAV model DJI Matric 300 RTK and measure the total magnetic field using a magnetometer model GSMP-25U in Canada. The Total Magnetic Intensity (TMI), Reduction to Pole (RTP), and Analytical Signal (AS) are used to define the locality and boundary of the iron ore targets. The results of RTP and AS are effective in determining the location and boundary of the iron ores that are found between andesite and limestone or marble showing high magnetic intensity. In contrast, low magnetic intensity resulted from limestone, marble, shale, and siltstone. The magnetic survey result has a good correlation with geologic field checking in the area and can guide drilling and mining plans in the future
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.010 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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".