Bibliographic record
Abstract
List of contributors Series foreword Editors' Preface Abbreviations Part 1 Ecotoxicity Tools and Novel Approaches 1. Introduction (A.Y. Renoux and G.I. Sunahara) 2. Sample Handling and Preparation for Estimation of Mobility, Bioavailablity and Toxicity of Contaminants in Soils (G.J. Zagury et al) 3. Toxicity Tests for Assessing Contaminated Soils and Ground Water (G.L. Stephenson et al) 4. Multispecies and Multiprocess Assays to Assess the Effects of Chemicals on Contaminated Sites (R. Kuperman et al) 5. Genotoxicity Analysis of Contaminated Environmental Media (S.S. Garcia and K.C. Donnelly) 6. Challenges and Approaches for Identifying Carcinogens in Contaminated Media (L.D. Claxton and S.E. George) 7. Soil Biomarkers (Invertebrates and Microbes) for Assessing Site Toxicity (C.Svendsen et al) 8. Xenobiotic Impacts on Plants and Biomarkers of Contaminant Phytotoxicity (B.M. Greenberg) 9. Use of Biomarkers of Exposure and Vertebrate Tissue Residues in the Hazard Characterization of PCBs at Contaminated Sites - Application to Birds and Mammals (A.L. Blankenship and J.P. Giesy) 10. Ecotoxicological Approaches in the Field (J. R mbke and J. Notenboom) Part 2 Risk Assessment Approaches to Contaminated Sites 11. Introduction (C. Thellen and C.L. Gaudet) 12. Risk-based Assessment of Soil Contamination: Generic versus Site-specific Approaches (C.L. Gaudet et al) 13. Ecological Effects-based Soil Guidelines: Case Studies from The Netherlands and Canada (S. Ouellet et al) 14. Risk-based Remediation Approach: Critical Review and Implications (J-P. Tr panier et al) 15. Application Requirements for ERA of Contaminated Sites (L. Martel et al) 16. The Evolution of Ecological Risk Assessment During the 1990s: Challenges and Opportunities (C.A. Menzie) Part 3 Case Studies showing Applications of Toxicological and Ecotoxicological Risk Methods to Contaminated Sites and Remediation Technologies Management 17. Introduction (A. Pilon) 18. New Dutch Policy on the Remediation of Soil - Balancing Human Health and Ecological Risks, Land Use and Mediation Costs: Two Case Studeis (E. Elkenbracht et al) 19. Ecotoxicological Risk Assessment of an Explosives-contaminated Site (P.Y. Robidoux et al) 20. Influence of Soil Remediation Techniques on the Bioavailability of Heavy Metals (C.A.M. van Gestel et al) 21. Contaminated Sites Redevelopment Using the Risk Assessment/Risk Management Approach: The Montreal Experience (C. Guay and S. Barbeau) 22. Einvironmental Fate and Human Exposure Modeling of the Residual TPH Contamination in a Biomediated Petroleum Storage Site (S. Loranger et al) 23. An Application of Risk-based Corrective Action (Atlantic RBCA) for the Management of Two Sites Impacted with Residual Hydrocarbons in Groundwater (C. Chamberland et al) Part 4 Closing Remarks 24. Closing Remarks (G.I. Sunahara et al) Index.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.085 | 0.042 |
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".