Airborne Gravity Tests In The Italian Area
Bibliographic record
Abstract
Airborne gravimetry is a valuable method for measuring gravity over large un-surveyed areas. This technology has been widely applied in Canada, Antarctica and Greenland to map the gravity field of these regions. In 2005, two tests in the Italian area have been performed by ENI in co-operation with the Politecnico di Milano and the Danish National Survey and Cadastre (KMS). To the knowledge of the authors, these are the first experiments of this kind in Italy and have been performed over the Ionian coasts of Calabria and the Maiella mountain. The Calabria test filed is characterized by strong gravity variations due to the geophysical and topographic structure of the area. Also, the ground gravity coverage is quite dense. It was thus possible to compare airborne gravity with on ground observed values in order to check for the precision of airborne gravimetry. The data smoothing process and the collocation approach used in the computations are discussed in details and the results of the comparisons with ground observed gravity are presented. The second campaign was performed in an un-surveyed area centered on the Maiella mountain, thus filling the data gap of this zone. Comparisons with existing on ground data were carried out also in this case.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".