Bibliographic record
Abstract
Initial and relocations of microseismicity in the Queen Charlotte triple junction and Explorer microplate region offshore British Columbia, Canada from 1995-2021. These data include detections using the Regressive Estimator (REST) algorithm and those from network analysts at the Geological Survey of Canada (GSC). The files include earthquake locations, origin times, and P and S wave travel/arrival times. Centroid moment tensor solutions from the Geological Survey of Canada. 1. comb_all_event_4pr_final.dat All (63,566) 4-pair initial data (Unique GSC, REST, and matched events.) Event header format: YYYY MM DD HH MM SC LAT LON DEP 0 0 0 0 ID 2. phase_REST_initial_all.dat Detections and locations for all REST events from 1995-2021. Excludes 9,929 events matched with the GSC. Event header format: YYYY MM DD HH MM SC LAT LON DEP 0 0 0 0 ID Phase detection format: Station Traveltime Quality Phase 3. phase_matchGSC_initial.dat 9,929 events matched between REST-GSC detections from 1995-2021. Locations and phase detections from the GSC. Event header format: YYYY MM DD HH MM SC LAT LON DEP 0 0 0 0 ID Phase detection format: Station Traveltime Quality Phase 4. phase_GSC_initial_all.dat 40,839 events from the GSC catalog from 1995-2021. Event header format: YYYY MM DD HH MM SC LAT LON DEP 0 0 0 0 ID Phase detection format: Station Traveltime Quality Phase 5. hypreloc_fix5_4pr_all.reloc 18,441 final hypoDD relocations in hypoDD file format. 6. PGC_CMT.tgz .tgz file includes Geological Survey of Canada centroid moment tensor solutions and associated README file.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.006 |
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".