aboutno affunlabeled
Wildfire residual levels: Foothills vs. SaskatchewanDavid Andison
2007· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
Cohort builder
4,299,418 works, Canadian by any of four routes.
Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.
The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
5,784 works in the cohort · of 4,299,418page 99 of 116
Labels cover 4 of 5,784 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.
Distilled predictions cover 5,784 of 5,784 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.
aboutno affunlabeled
Drought has emerged as a major threat to the world's forests. A study shows that tree mortality in Canada's boreal forests has increased by nearly 5% per year — much higher than expected — owing to water stress from regional warming.Richard A. Birdsey, Yude Pan
2011· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on acp-2022-829Qingqing Xu
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Researchers at Natural Resources Canada's Canadian Forest Service have recently used a new model for estimating the risk of large forest fires (over 200 hectares) in various regions across Canada.Cyril Girardin
2009· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Comment on gmd-2021-1852021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Dynamique de la regeneration des pins rouges (pinus resinosa) apres feu en Mauricie, Quebec /Véronique Lemieux
2010· book· fr· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Supplemental ImagesAjith H. Perera, Lisa J. Buse
2014· other· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
Incorporating solar radiation into the litter moisture model in the Canadian Forest Fire Danger Rating SystemMike Wotton, Kelsy Gibos
2010· article· en· EGU General Assembly Conference Abstracts· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
A Lens on Fire Risk Drivers: The Role of Climate and Vegetation Index Anomalies in the May 2025 Manitoba WildfiresAfshin Amiri, Silvio José Gumière, Hossein Bonakdari
2025· preprint· en· Preprints.org· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
25th Annual Italy Cross Fire Dpt. Fishing Tournament | Lunenburg Region, Nova ScotiaDave Waters
2017· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Review for "Strategies to reintroduce prescribed fire as a grassland management process on the Canadian prairies"2025· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment on gmd-2024-24Cynthia Whaley, Montana Etten‐Bohm, Courtney Schumacher, Ayodeji Akingunola, Vivek B. Arora, Jason N. S. Cole +4 more
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Carbon Emissions From Wildfires in Canada This Year Have Already Doubled Previous Annual Record2023· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
The 2024 Jasper Fire is a grim reminder of the urgency of adopting a Canadian national wildfire strategyEdward Struzik
2024· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Osoyoos Indian Band and Vaagen Fibre Canada Working Together to Restore BC Areas Devastated by 2021 NK’Mip Creek Wildfire2023· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Alterra Power's Dokie 1 Wind Farm in Proximity to Mount McAllister Forest Fire -- VANCOUVER, July 16, 20142014· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
boreal forest using the2016· article· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Multiple-scale research studies on boral forest fire regimes to inform Ontario's policies for emulating natural forest disturbances. A prospectus.Ajith H. Perera, Lisa J. Buse
2006· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Planning for the Flood Fringe: A Comparative Analysis of Two Zone Concept Planning Policies Used by Conservation Authorities in Southern OntarioDhilan Gunasekara
2015· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Upland wildfires and fluvial processes: the response of tree populations along a gravel-bed watershed in the Canadian Rocky Mountains.Isabelle Charron, E. A. Johnson
2003· article· en· AGU Fall Meeting Abstracts· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Cumulative effects of natural and anthropogenic disturbances on the forest carbon balance in the Oil Sands Region of Alberta, Canada; a pilot study (1985–2012)Cindy Shaw, Sébastien Rodrigue, Mihai Voicu, Rasim Latifovic, Darren Pouliot, Shari Hayne +2 more
2020· preprint· en· Research Square· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Tornado mitigation in the Canadian prairie region2014· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comparaison du bilan de carbone et du potentiel d'atténuation des changements climatiques de stratégies d'aménagement forestier dans la sapinière boréale du Québec (Canada)Laurence Paradis
2018· article· fr· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Predicting and planning for forest fires requires modelling of many complex, interrelated factorsGabriel Wainer
2023· preprint· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Alberta Wildfires Out of Control. Blame Climate Change, with a little help from Hillary Clinton2016· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Use of weather generators for assessing local scale impact of climate change on dead fuel moistureGrazia Pellizzaro, Martin Dubrovský, Sara Bortolu, Bachisio Arca, Andrea Ventura, Pierpaolo Duce
2014· book-chapter· en· Imprensa da Universidade de Coimbra eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian banks face pressure to support wildfire victims, climate change2023· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2021-113David Gaveau, Adrià Descals, Mohammad Salim, Douglas Sheil, Sean Sloan
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
L’État des forêts au Canada rapport annuel 20232024· report· fr· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fire and climateMarion Lestienne, Justin Waito, Chéïma Barhoumi, Laurent Brémond, Martin P. Girardin, Jacques Tardif +4 more
2024· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Wavelet Based Machine Learning Algorithms for Wildfire PredictionRonald Feng, Frederick W. B. Li, Xiaodi Wang
2023· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Supplementary material to "Physical, Social, and Biological Attributes for Improved Understanding and Prediction of Wildfires: FPA FOD-Attributes Dataset"Yavar Pourmohamad, John T. Abatzoglou, Erin J. Belval, Erica Fleishman, Karen C. Short, Matthew C. Reeves +8 more
2023· preprint· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Decision letter for "Unravelling the biogeographic determinants of tree growth sensitivity to freeze and drought in Canada's forests"2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
A milestone in the new millenniumDon Podlubny
2000· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Review of gmd-2022-223Matthew Kasoar
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
An Investigation of Geological Applications of Archival Lightning Strike Data in the Province of Alberta (North of Latitude 54° North)Kate Robertson
2003· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Birds, Broom, Bunnies, and Biplanes: Conserving a Remnant Population of Coastal Vesper Sparrows at the Nanaimo Airport,2015· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on RC2Stefano Potter
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Author response for "Cougar spatiotemporal response to human activities in a multi‐use forest landscape on southern Vancouver Island"Emerald Arthurs, Jason T. Fisher, Elicia Bell, Christopher Bone
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Identifying Burn Scars with ICEYE SAR DatasetsAngel Caroline Johnsy, Qiaoping Zhang, Michael Wollersheim, Valentyn Tolpekin, Linda Corucci
2024· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Post-wildfire vegetation cover change mapping for assessments of secondary disaster risks toward urban areas: case of Fort McMurray 2016Ying Zhang, Sylvain G. Leblanc, Francis Canisius, Haoyu Fang, Maxim Fortin, Julie Lovitt
2024· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Increased occurrence of extreme fire years on the Tłıchǫ territory (NWT, Canada)2018· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Peer Review #1 of "We’re building it up to burn it down: fire occurrence and fire-related climatic patterns in Brazilian biomes (v0.1)"2022· peer-review· en· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Referee Comment for nhess-2020-1452020· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
TRUMPETER SWAN SURVEYof theROCKY MOUNTAIN POPULATION,U.S. BREEDING SEGMENTFALL 2009Dave Olson
2012· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Referee commentsBernard Legras, Aurélien Podglajen, Mehmet Yavuz Salihoğlu
2020· peer-review· en· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affno abstractunlabeled
Analysis of factors influencing carbon fluxes over balsam fir forests in New BrunswickE. McClelland
2004· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Wildfires Rage In Canada, Turning U.S. Skies Orange2023· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
5 Images Explain Why the Alberta Forest Fires Are So Hard to StopRachael Petersen, Susan Minnemeyer, Wynet Smith
2016· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2023-4302024· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations