Data capture, consolidation and reclassification: moving toward a geological framework to support groundwater management in southern Ontario
Notice bibliographique
Résumé
Numerous reports and reviews of groundwater management in Canada, and more specifically in Ontario, have identified the need for the capture and consolidation of data within more structured and accessible database formats with online availability. There remains an enormous amount of valuable legacy geoscience data available in hardcopy and scanned PDF format and more recent work that is primarily available in PDF files. In the past year the GSC has collaborated with the Ontario Geological Survey (OGS), Ministry of Environment and Climate Change (MOECC), Ministry of Natural Resources and Forestry (MNRF), and conservation authorities toward this end. Activities have focused on the data capture, consolidation and classification of data sets collected under the Drinking Water Source Protection Program, legacy municipal and conservation authority information on municipal wells, non-digital legacy data of the OGS and GSC, consolidation of OGS and GSC published work and OGS-GSC geophysical data sets. Work was also completed on enhancing the geological content of the Provincial Groundwater Monitoring Network. Much of this information has been entered into a relational database; however, much of it remains in flat files and requires additional iterative QA/QC before it is suitable for dissemination online. The most extensive effort was expended on the capture and consolidation of aquifer parameter information tied to municipal wells. Initial efforts focused on Source Protection (SP) reporting available online and expanded to include 19 report types of which 8 were associated with SP and 11 are reports types that may predate SP but support municipal water supplies. To-date approximately 500 reports have been reviewed with 946 municipal wells identified in 32 SP areas, with cross indexing of 84% of the wells with the WWIS and 97% with the PTTW database. Information was assembled on over 30 attributes in 5 general groupings that capture well information. Based on the reports reviewed, 399 aquifer entries, preliminary grouped into 213 aquifers units have been tabulated. Both the GSC and OGS have legacy hardcopy data holdings that are beig scanned, commonly to a PDF format. This nevertheless leaves the laborious task of capturing pertinent information for consolidation in a database structure. Two distinct activities have been undertaken, i) the capture of legacy section descriptions and analytical data from reports, and ii) consolidation of digital information from standalone publications into a single database. The focus of this activity has been on data that will support the stratigraphic classification necessary for 3-D geological modelling. Additionally two GSC datasets have been consolidated the downhole geophysical data and reflection seismic data. As part of an ongoing national data compilation new borehole geophysics data collected with the OGS has been integrated into the national dataset. Additionally for the first time reflection seismic data has been consolidated into a database structure bringing together 10 years and hundreds of km of seismic data, of which approximately 20 percent is in southern Ontario. An ongoing challenge is to complete the necessary QA/QC on the datasets and making them available online. It is anticipated that with the retooling of the Groundwater Information Network (GIN) to the GWML 2.0 standard much of this information will be able to be displayed in the coming 18 months.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,011 | 0,025 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».