| 000 | 00000cam 2200000zi 4500 |
| 001 | 9.957831 |
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| 003 | CaOODSP |
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| 005 | 20260130105532 |
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| 006 | m o d f |
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| 007 | cr mn |||||||| |
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| 008 | 251128t20252025onc ob f000 0 eng d |
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| 020 | |a9780660799858 |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 043 | |an-cn--- |
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| 086 | 1 |aM183-2/9318E-PDF |
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| 100 | 1 |aParsa, M., |eauthor. |
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| 245 | 10|aVector representations of the Canadian Geoscience Foundation model / |cM. Parsa. |
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| 264 | 1|a[Ottawa] : |bGeological Survey of Canada, |c2025. |
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| 264 | 4|c©2025 |
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| 300 | |a1 online resource (5 pages). |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aOpen file, |x2816-7155 ; |v9318e |
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| 500 | |aIssued also in French under title: Représentations vectorielles du modèle fondateur géoscientifique canadien. |
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| 504 | |aIncludes bibliographical references (page 5). |
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| 520 | |a"The Geological Survey of Canada (GSC) has recently developed several data-driven, geospatial predictive models, with more expected to follow. Nevertheless, several challenges hinder the advancement of this initiative. First, the geoscientific phenomena, such as mineralization, targeted by geospatial predictive modelling tasks are typically rare events, which limits the effectiveness of conventional data-driven algorithms. Second, training models from scratch for each task is both resource-intensive and time-consuming. The Canadian Geoscience Foundation model (CGF) offers a promising solution to the aforementioned challenges by providing a general-purpose, adaptable AI model trained on extensive, diverse, pan-Canadian geoscientific datasets"--Page 1. |
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| 650 | 0|aGeospatial data|xComputer processing. |
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| 650 | 0|aVector processing (Computer science) |
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| 650 | 0|aArtificial intelligence|xGeophysical applications|zCanada. |
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| 710 | 2 |aGeological Survey of Canada, |eissuing body. |
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| 775 | 08|tReprésentations vectorielles du modèle fondateur géoscientifique canadien / |w(CaOODSP)9.957832 |
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| 830 | #0|aOpen file (Geological Survey of Canada)|x2816-7155 ; |v9318e.|w(CaOODSP)9.506878 |
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| 856 | 40|qPDF|s281 KB|uhttps://publications.gc.ca/collections/collection_2026/rncan-nrcan/m183-2/M183-2-9318-eng.pdf |
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| 856 | 4 |qHTML|sN/A|uhttps://doi.org/10.4095/pxvyky08xx |
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