Seismic anatomy of Miocene clinoform sequences on the New Jersey (USA) shelf, and implications for sediment transport during base-level rhythms
Bibliographic record
Abstract
Abstract The New Jersey, USA, continental margin has become a natural laboratory for studying sediment dynamics and sequence architecture associated with eustatic rhythms. We collected 564 km2 of ultrahigh-resolution 3-D seismic data in the region of Integrated Ocean Drilling Program Expedition 313 to investigate the formation of the shelf and clinoform system during early to middle Miocene time. We identified 22 high-frequency sequences and 76 systems tracts, using a geometric breakdown approach based on changes in the landward and seaward terminations and elevation of clinoform rollovers in successive reflector packages. Predicted petrophysical properties of acoustic impedance, P-wave velocity, density, and clay content show rhythmic patterns that follow the seismic sequence architecture, with landward fining in transgressive deposits and basinward fining in other systems tracts. Similar proportions of lowstand, transgressive, and highstand deposits suggest that sediment accumulated during periods of both rise and fall in relative sea level, with a low proportion of falling-stage deposits (4%), which suggests that forced regression rarely exposed clinoform breakpoints. Maximum dip azimuths for the Miocene section indicate southwestward sediment transport, broadly along strike of the margin. Enhanced sediment accumulation to the southwest caused a 13° anticlockwise rotation in clinoform orientation after the late Oligocene, and this uneven stress load influenced the orientation of contemporary polygonal faults on basinward parts of the clinoforms. In contrast to models that emphasize downslope sediment transport in margin development, we highlight the importance of along-shore advective processes in shaping the New Jersey margin during the Miocene.
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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".