Sourcing of Copper and Lead within Red Inclusions\nfrom Trinitite Postdetonation Material
Bibliographic record
Abstract
Historical\npostdetonation materials resulting from nuclear testing\ncan be used to develop methodologies for source attribution, in particular\nif the chemical and isotopic signatures of the device are public domain.\nThe samples analyzed in this study are from the world’s first\nnuclear bomb explosion in 1945, the Trinity Test, and produced the\npostdetonation material “Trinitite”. The latter is a\nglassy material that resulted from the melting of the natural sand\npresent at ground zero (Alamogordo, NM) and incorporated components\nof the device. Chemical and isotopic (e.g., Pu) information on the\ndevice is declassified and, therefore, methodologies for fingerprinting\nfuel and other device components can be verified. One type of Trinitite\ncontains red inclusions that are characterized by high concentrations\nof Pb (between 438 and 26,631 μg/g) and Cu (between 404 and\n22,280 μg/g) that are in general positively correlated. Pb isotope\ncompositions for the red inclusion areas exhibit a large variation\nand indicate mixing between Pb from at least 3 different sources:\n1- natural geological background (arkosic sand) present at ground\nzero; 2- anthropogenic component from the device; and 3- industrial\nCu used for wiring in the device. Based on the Pb isotope ratios for\nthe red inclusions within Trinitite, it is likely that the anthropogenic\nPb derives from Buchans Mine (Newfoundland, Canada), which is in agreement\nwith a previous investigation. Products of industrial Cu manufacturing\n(e.g., pennies) were analyzed for their trace element abundances and\nPb isotope compositions; these suggest that Cu employed within the\ndevice’s wiring was derived from two Cu ore deposits within\nthe USA.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.133 | 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".