MORPHOLOGICAL AND CHEMICAL CHARACTERIZATION OF NEUTRALLY BUOYANT PLUME-DERIVED PARTICLES AT THE EASTERN MANUS BASIN HYDROTHERMAL FIELD, PAPUA NEW GUINEA
Bibliographic record
Abstract
Neutrally buoyant particulate matter emitted from hydrothermal plumes in the eastern Manus Basin hydrothermal field, Papua New Guinea, was detected and sampled by CTD-transmissometer surveys during marine expeditions in 1991 and 1993. Characterization of suspended particulate matter has helped to prove that the main sources of venting are along a prominent 20km-long NE–SW-striking felsic volcanic ridge. Elemental composition and particle morphology were determined by scanning electron microscopy and X-ray energy-dispersion spectroscopy. The size distribution and relative abundance of particles were determined by image analysis on selected samples. By looking at the composition of particulate matter, we can infer the origin, maturity and proximity of the source that is producing the particles. Seven types of particles have been morphologically and chemically characterized: i) filaments of probable biogenic origin of a Mn–Fe–Si phase containing traces of Cu and Zn, ii) orblike particles of an Fe–Mn–Si phase containing minor Mg, Al, P, K and Ca, iii) barite, iv) anhydrite, v) colloidal-sized amorph ous iron oxide, vi) an unidentified Si–Fe-rich phase, and vii) widespread biogenic detritus (shrimps, diatoms, silicoflagellates, copepods and unidentified gelatinous organic matter). Most of the particles are <2 � m in size and range from <2 � m for amorphous iron oxide to 100 � m for anhydrite and the Si–Fe-rich phase. Studies on suspended particulate matter constitute an effective way to recognize hydrothermal plumes.
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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 | 0.000 |
| 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) | 0.000 | 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 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".