Score breakdown

Hidden Technical Debt in Machine Learning Systems

paper-0077 · paper · 2015

D. Sculley et al.

Why ML systems rot in production; founding text of MLOps.

Academic, score -0.1874

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent843.00.003790.50.001895OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent11.00.7142860.050.035714OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.0865

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent843.00.003790.20.000758OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent11.00.7142860.40.285714OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.2526

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent843.00.003790.250.000948OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent11.00.7142860.10.071429OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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