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Record W6987694437

The 19th Annual International Conference on Soils, Sediments and Water

2003· article· en· W6987694437 on OpenAlexfundno aff

Bibliographic record

VenueScholarWorks@UMassAmherst (University of Massachusetts Amherst) · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
FundersCold Regions Research and Engineering LaboratoryU.S. Army Corps of EngineersDivision of Ocean SciencesUniversity of Texas at El PasoEngineer Research and Development CenterCollege of Veterinary Medicine, Cornell UniversityKorea Advanced Institute of Science and TechnologyUniversité de BordeauxHospital for Sick ChildrenCentre National de la Recherche ScientifiqueUniversity of TorontoWorcester Polytechnic InstituteSaint Petersburg State UniversityUniversity of South CarolinaUniversità degli Studi di CagliariU.S. Environmental Protection AgencyUniversity of MissouriSyracuse UniversityBattelleUniversity of Southern CaliforniaVirginia Polytechnic Institute and State University
KeywordsSession (web analytics)Environmental remediationPanel discussionGroundwaterEnvironmental restorationNatural resource
DOInot available

Abstract

fetched live from OpenAlex

Conference at a Glance Monday, October 20, 2003 Workshops Workshops #1-2: 10:00am – 5:00pm Workshops # 3-4: 1:00 – 5:00pm Workshop # 5: 1:00 – 3:00pm Workshop # 6: 3:00 – 5:00pm Workshop # 1: Theory and Use of Field Portable X-ray Fluorescence for Soil Analysis Workshop # 2: In-Situ Chemical Oxidation Workshop Workshop # 3: TBA/MTBE Remediation Seminar Workshops # 4: A Practical Approach for Assessing Upward Vapor Instrusion Risk Workshop # 5: The Arsenic Nobody Wanted: Now What? A Panel Discussion on Arsenic in Communities Workshop # 6: Implementing the Massachusetts DEP's New Data Enhancement Policy - PRACTICAL Data Quality Tips for LSPs and other Data Users Tuesday, October 21, 2003 Platform Presentations 8:30am-Noon Session 1: Environmental Biotechnology Session 2: Department of Defense Training Ranges and Munitions Constituents: Challenges and Solutions Session 3: Regulatory / Legal Session 4: Remediation I 1:30pm-5:30pm Session 1: Bioavailability Session 2: Environmental Forensics Session 3: Bioremediation of Acid Mine Drainage and Removal of Metals Session 4: Phytoremediation Poster Session, 4:00 pm - 6:00 pm , Exhibit Area, First Floor, Campus Center Social: 4:30-6:00 pm Exhibit Area, First Floor Campus Center Workshops (Evening 7:00-10:00 pm) Workshop # 7: Simple Models for Estimating Contamination Impacts to Ground Water Workshop # 8: Understanding the Role of Anaerobic Biodegradation Processes in Passive and Enhanced Natural Attenuations Programs Workshops # 9: Application and Challenges in Groundwater Modeling for Environmental Forensic Investigations Wednesday, October 22, 2003 Platform Presentations 8:30 am-Noon Session 1: CCA Treated Wood – Regulations, Science and Risk Assessment; Part I Session begins at 8:00am Session 2: Perchlorate Session 3: Bioindicators of Environmental Health: Concepts and Application Session 4: Pay-for-Perfomance Remediation Technologies - Methods & Case Studies of Science & Economics 1:30pm-5:30pm Session 1: CCA Treated Wood – Regulations, Science and Risk Assessment; Part II Session 2: MTBE Session 3: Bioremediation Session 4: Analysis / Fate Poster Session, 4:00-6:00 pm, Exhibit Area, First Floor, Campus Center Social: 4:30-6:00 pm Exhibit Area, First Floor Campus Center Workshops (Evening 7:00-10:00pm) Workshop # 10: Detection and Quantitation Limits in Environmental Analysis Workshop # 11: Aerobic and Anaerobic Bioremediation and Monitored Natural Attenuation of VOCs Workshop # 12: Environmental Fate of Hydrocarbons in Soils and Groundwater Thursday, October 23, 2003 Platform Presentations 8:30 am-Noon Session 1: Remediation II Session 2: Risk Assessment and Risk Based Cleanup Session 3: Chemical Oxidation Session 4: Modeling and Site Assessment 1:30pm-5:30pm Session 1: Sediments Session 2: Heavy Metals Top

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.190
Threshold uncertainty score0.636

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1900.083

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.

Opus teacher head0.014
GPT teacher head0.204
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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