Triethylamine-assisted Mg (OH)2 coprecipitation/preconcentration for determination of trace element concentrations in rainwater from Sicily, Italy
Bibliographic record
Abstract
EMERGING CONTAMINANTS AND HUMAN HEALTHEmerging contaminants, i.e. substances which are not yet regulated but may be of environmental or human health concern, include medicines, personal care products and industrial compounds.These emerging contaminants not only impair soil quality and freshwater sources but could also get into the food chain and affect human and animal health.We present contributions advancing the understanding of interaction between emergent contaminants, the geoenvironment and human health. Session 3 INNOVATIVE DATA COLLECTION METHODS AND ENVIRONMENTAL CHANGETechnological developments in collection and analysis of geospatial data include the use of geographic information systems (GIS) and imagery analysis, crowdsourcing, and mobile technology.These new methods are applied on their own or in combination with traditional data collection systems such as household surveys, censuses, and administrative data.We are presenting abstracts that showcase novel data collection methods to solve complex environmental challenges and assess environmental change. Session 4 GLOBAL DATABASES FOR GEOCHEMISTY AND BEYONDOur era is characterized by a growing rate of data generation.Additionally, current research data management practices require that global databases need to meet principles of findability, accessibility, interoperability, and reusability (FAIR).Abstracts demonstrating examples of generating standardized data and machine-readable metadata as well as utilization of such databases for answering geochemical and environmental questions are being presented. Session 5 ENVIRONMENTAL GEOCHEMISTRY AND ENERGY TRANSITION ERAUtilisation of critical elements, which are vital for emerging and low-carbon technologies, is often a two-sided question since some of the products and technologies which use such elements, while being developed to reduce environmental impacts require mining and refining that may have environmental consequences.The aim of this theme is to address this dichotomy.We present papers examining all aspects of the life cycling of critical elements with potential toxicity for the terrestrial and marine environments.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".