Bibliographic record
Abstract
Significant lateral variations of surface heat flow occur in the Polish Lowland area, ranging up to 30+/-10 mW/m2 across the transition from the East European Craton (EEC) and the northeastern part of the Teisseyre-Tornquist Zone (TTZ) to the accreted terranes in the south-west (Palaeozoic Platform) and up to 25 mW/m2 of change within the Trans-European Suture Zone (TESZ). Modelling of the crustal temperatures for the deep seismic profiles parallel to TESZ (P1, P5 and TTZ) and perpendicular to it (LT-7, P2, LT-2, P4, LT-4 and LT-5) shows evidence of extensive crustal-mantle warming (elevated mantle heat flow in the area between the Sudetes and the EEC). The EEC and the northern part of the TTZ have a much lower mantle heat contribution. Mantle heat flow variations are significant (approximately 20-40 mW/m2 ). Significant are also variations in thermal lithosphere thickness ranging from ca. 150-200 km in the craton and the northern part of the TTZ to 100-150 km (locally less than 100 km) in the accreted terranes to the south-west of the TTZ and in the central part of the TTZ. The TTZ is a thermally inhomogeneous zone.The thermal transition between the Palaeozoic Platform and the EEC is not a sharp one. Significant variations in the thickness of the thermal lithosphere do not follow major tectonic units of the crust.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".