International Conference CSCOP-TSOP 2002- Emerging Concepts in Organic Petrology and Geochemistry, Canada [including Dr Archie G. Douglas Symposium]
Bibliographic record
Abstract
United States of America, representing a variety of academic, industrial and governmental institutions reflecting the breadth of scientific community.The overall activities and arrangements of the conference were excellent.Saturday, August 31" was specified for registration and pre-conference workshop/short course on the topic "A prediction of total organic carbon contents and hydrogen indices in marine sediments" conducted by Dr Richard V. Tyson, University of Newcastle upon Tyne, UK.About 32 candidates (including one of us-BDS) from different countries attended the course.This one-day course was focused on the numerical prediction of the two most fundamental petroleum source rock parameters-Total Organic Carbon (TOC) and Hydrogen Index (HI).The course reviewed the main fundamental controls on the organic content of marine sediments-organic matter input (carbon fluxes), organic matter preservation and sediment dilution, and showed how these parameters interact to produce a given TOe.It was also described how marine sediment data have been used to
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.092 | 0.026 |
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".