The Geophysical Response of the Tupinda Cu-Au-Mo Porphyry Prospect, Tabar Islands, Papua New Guinea
Bibliographic record
Abstract
The Tupinda porphyry prospect is located in the Tabar Islands Group of Papua New Guinea (PNG), approximately 80 km NW of the supergiant Lihir epithermal gold deposit (43 Moz Au). Geophysical data over the prospect include airborne magnetics and radiometrics, ground pole-dipole induced polarization and resistivity, gradient array induced polarization, petrophysics, and airborne time domain electromagnetics. All geophysical datasets clearly identify the footprint of the porphyry body and associated alteration system. The magnetic data show a central high representing the magnetite altered potassic core surrounded by a circular zone of low response indicative of magnetite destructive alteration. The radiometric data show a discrete potassium anomaly overlapping the magnetic anomaly. The pole-dipole IP data display a resistive chargeable zone coincident with the magnetic anomaly. Mid to late time airborne EM data exhibit a broad sub-circular resistor coincident with the mapped limits of the alteration system. Field mapping and drilling of the prospect are consistent with the geophysical data. Outcropping potassic alteration is observed at the location of the magnetic and radiometric anomalies. Drill core shows widespread disseminated sulphide mineralization consistent with the chargeable response observed in the IP data. Predominantly fresh felsic lithologies intersected in the drilling concur with the resistor measured in the airborne EM data. A more complex relationship exists between grade (Au and Cu) and magnetic susceptibility, with some areas displaying a good correlation and other demonstrating a more cryptic relationship which may be a function later overprinting geological events.
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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 | 0.000 |
| 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 | 0.000 |
| 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".