Geohazards in Deepwater Sectors Offshore Newfoundland and Labrador Available for Parcel Nomination in 2016-2019
Bibliographic record
Abstract
Abstract Several deep-water sectors offshore Newfoundland and Labrador are available for parcel nomination in the next few years. This paper summarizes the current availability of geohazard information from Geological Survey of Canada (GSC) data holdings, Open Files and published papers. It presents background geological information on controls on geohazards, and summarizes the significance of existing published geological and geotechnical data. It focuses on sectors NL01-LS, NL02-LS (southern Labrador Slope), NL02-EN (northern Orphan Basin), and NL01-SEN (Carson and Salar basins), with brief mention of NL-01-SN. It is based on field surveys by the GSC in the past decade, including multibeam bathymetry, high-resolution seismic, and piston cores. The information is applicable to E&P companies considering nominating parcels or submitting bids for leases and to the regulator as a guide to geohazards and sea-floor constraints to exploration and production.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".