Score breakdown

InternLM2 Technical Report

paper-0189 · paper · 2024

InternLM Team (Shanghai AI Laboratory)

Primary technical report for a notable AI model (verified primary source).

Academic, score -0.2178

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent27.00.0001170.55.9e-05OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent3.00.1428570.050.007143OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score -0.1428

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent27.00.0001170.22.3e-05OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent3.00.1428570.40.057143OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.3107

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent27.00.0001170.252.9e-05OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent3.00.1428570.10.014286OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

A rank is not a verdict on intrinsic worth. It is a transparent output of declared evidence, weights, and missing-data rules at a specific release date.

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