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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.

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

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

Labels cover 0 of 197 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 197 of 197 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.

affunlabeled
Can we predict customer lifetime value?
Edward C. Malthouse, Robert C. Blattberg
2005· article· en· Journal of Interactive Marketing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
246
citations
affunlabeled
Current trends in web data analysis
Arun Sen, Peter A. Dacin, Christos Pattichis
2006· article· en· Communications of the ACM· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
81
citations
affunlabeled
Measuring customer capital
Jan Duffy
2000· article· en· Strategy and Leadership· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
77
citations
aboutno affunlabeled
Uplift Random Forests
Leo Guelman, Montserrat Guillén, Ana María Pérez Marín
2015· article· en· Cybernetics & Systems· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
72
citations
affno abstractunlabeled
ADTreesLogit model for customer churn prediction
Jiayin Qi, Li Zhang, Yan Liu, Ling Li, Yong‐Pin Zhou, Yao Shen +2 more
2008· article· en· Annals of Operations Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Intelligent Decision Forest Models for Customer Churn Prediction
Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed A. Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu +4 more
2022· article· en· Applied Sciences· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
31
citations
venueno affno abstractunlabeled
Ecommerce "Stickiness" for Customer Retention
Martin A. W. Nemzow
2000· article· en· The Journal of Internet Banking and Commerce· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
24
citations
venueno affunlabeled
A Machine Learning Framework towards Bank Telemarketing Prediction
Stéphane Cédric Koumetio Tekouabou, Ştefan Cristian Gherghina, Hamza Toulni, Pedro Neves Mata, Mário Nuno Mata, José Moleiro Martins
2022· article· en· Journal of risk and financial management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
22
citations
venueno affunlabeled
Market basket analysis in insurance industry
Marzieh Vahidi Roodpishi, Reza Aghajan Nashtaei
2015· article· en· Management Science Letters· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Customer Segmentation and Churn Prediction in Online Retail
Nilay Jha, Dhruv Parekh, Malek Mouhoub, Varun Makkar
2020· book-chapter· en· Lecture notes in computer science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
11
citations
afffundno abstractunlabeled
Flight deck crew reserve: From data to forecasting
Amir-Hosein Homaie-Shandizi, Vahid Partovi Nia, Michel Gamache, Bruno Agard
2016· article· en· Engineering Applications of Artificial Intelligence· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
9
citations
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