Additional file 1 of Investigating the fate of polycyclic aromatic sulfur heterocycle compounds in spilled oils with a microcosm weathering experiment
Bibliographic record
Abstract
Additional file 1. Table S1. Specific details for each crude oil used for reporting the results. Table S2. Information on water level adjustments for the microcosm during weathering experiment. Table S3. PAH and APAH concentrations (µg/mL) for the weathered crude oil samples determined by GC-QToF. Table S4. PAH and APAH concentrations (µg/mL) for the un-weathered crude oil samples determined by GC-QToF. Table S5. PASH and APASH concentrations (µg/mL) for the un-weathered crude oil samples determined by GC-QToF. Fig. S1. Set-up for the weathering experiment (May 31st, 2021). Fig. S2. Chromatograms for Dibenzothiophene and C1-C4 Dibenzothiophene for ANS 2015 weathered extracted at 50 ppm. Fig. S3. Chromatograms for Benzonaphthothiophene and C1-C4 Benzonaphthothiophene for ANS 2015 weathered extracted at 50 ppm. Fig. S4. Chromatograms for Dinaphthothiophene and C1-C4 Dinaphthothiophene for ANS 2015 weathered extracted at 50 ppm. Fig. S5. Chromatograms for Dibenzothiophene and C1-C4 Dibenzothiophene for ANS 2015 un-weathered extracted at 50 ppm. Fig. S6. Chromatograms for Benzonaphthothiophene and C1-C4 Benzonaphthothiophene for ANS 2015 un-weathered extracted at 50 ppm. Fig. S7. Chromatograms for Dinaphthothiophene and C1-C4 Dinaphthothiophene for ANS 2015 un-weathered extracted at 50 ppm.
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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.778 | 0.117 |
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".