Bibliographic record
Abstract
Boletín Geológico publishes the special issue 48 (Spl.1), 2021, on airborne geophysics with the following articles: Moyano et al. present in this data article the airborne magnetometry and gamma-ray spectrometry datasets that the Servicio Geológico Colombiano has made available. The information was acquired in 15 blocks that cover approximately 520 000 square kilometers of Colombian territory, representing more than 850 000 linear km of information. The data were collected along flight lines separated by 500 m or 1000 m, depending on the area, with sampling rates of 10 Hz (8 m) and 1 Hz (80 m) for the magnetometry and gamma-ray spectrometry data, respectively. Puentes et al. present a synthesis of the Map of Geophysical Anomalies of Colombia for mineral resources, MAGC 2020 version. This map compiles the geophysical information acquired, processed, and interpreted by the Servicio Geológico Colombiano since 2013. This information was collected via airborne platforms (aircrafts) using magnetometry and gamma spectrometry. This version covers approximately 547 960 km2 of the national territory in the Andean (North and Central), Eastern (Eastern Plains and Amazon) and Caribbean zones (Perijá mountain range). Lara et al. disclose two case studies about the interpretation of geological features using airborne geophysical information in the Serranía de San Lucas – Antioqueño Batholith and eastern Colombia areas. The variations observed in airborne magnetic and gamma spectrometric data are used mainly to support the differentiation of geological units, to delimitate structures and to define compositional/lithological changes. In this context, the goal of this study is to support geological mapping through airborne magnetometry and gamma spectrometry geophysical data. Boletín Geológico acknowledges the collaboration of the following reviewers and their commitment to the peer-review process involved in this special issue on airborne geophysics: Álvaro Vargas, Lithosphera Earth Sciences Ltda., Colombia Bill Morris, McMaster University, Canada Hernán Ugalde, Brock University, Canada Leda Sánchez Bettucci, Universidad de la República, Uruguay Marco Nieto, MPX Geophysics, Canada Richard Smith, Laurentian University, Canada Stefania Radice, Universidad Nacional de Río Cuarto, Argentina Stephen Reford, Paterson, Grant & Watson Limited, USA Mario Maya Editor mmaya@sgc.gov.co boletingeologico@sgc.gov.co
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.258 | 0.152 |
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".