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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.

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The International Journal of Life Cycle Assessment
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Retraction
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

165 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
165 works in the cohort · of 4,299,418page 1 of 4

Labels cover 2 of 165 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 165 of 165 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.

afffundunlabeled
IMPACT World+: a globally regionalized life cycle impact assessment method
Cécile Bulle, Manuele Margni, Laure Patouillard, Anne‐Marie Boulay, Guillaume Bourgault, Vincent De Bruille +14 more
2019· article· en· The International Journal of Life Cycle Assessment· Environmental Science
machine prediction:candidate · noneconsensus · none
554
citations
affno abstractunlabeled
Key Elements in a Framework for Land Use Impact Assessment Within LCA (11 pp)
Llorenç Milà i Canals, Christian Bauer, Jochen Depestele, Alain Dubreuil, Ruth Freiermuth Knuchel, Gérard Gaillard +3 more
2006· article· en· The International Journal of Life Cycle Assessment· Environmental Science
machine prediction:candidate · noneconsensus · none
483
citations
affno abstractunlabeled
A framework for assessing off-stream freshwater use in LCA
Jean-Baptiste Bayart, Cécile Bulle, Louise Deschênes, Manuele Margni, Stephan Pfister, François Vince +1 more
2010· article· en· The International Journal of Life Cycle Assessment· Environmental Science
machine prediction:candidate · noneconsensus · none
262
citations
affno abstractunlabeled
Principles for life cycle inventories of land use on a global scale
Thomas Koellner, Laura de Baan, Tabea Beck, Miguel Brandão, Bárbara Civit, Mark Goedkoop +5 more
2012· article· en· The International Journal of Life Cycle Assessment· Environmental Science
machine prediction:candidate · noneconsensus · none
138
citations
affno abstractunlabeled
Categorizing water for LCA inventory
Anne‐Marie Boulay, Christian Bouchard, Cécile Bulle, Louise Deschênes, Manuele Margni
2011· article· en· The International Journal of Life Cycle Assessment· Environmental Science
machine prediction:candidate · noneconsensus · none
109
citations
afffundaboutno abstractunlabeled
LUCAS - A New LCIA Method Used for a Canadian-Specific Context
Laurence Toffoletto, Cécile Bulle, Julie Godin, Catherine Reid, Louise Deschênes
2006· article· en· The International Journal of Life Cycle Assessment· Environmental Science
machine prediction:candidate · noneconsensus · none
107
citations
affno abstractunlabeled
Sensitivity to weighting in life cycle impact assessment (LCIA)
Valentina Prado, Marco Cinelli, Sterre F. Ter Haar, Dwarakanath Ravikumar, Reinout Heijungs, Jeroen B. Guinée +1 more
2019· article· en· The International Journal of Life Cycle Assessment· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
64
citations

How this was built: Screen · Findings · About