Data supporting a structured evidence audit of machine-learning predictions for inorganic lithium- and sodium-ion solid-state electrolytes

Description

This dataset supports the review entitled “Evidence Quality and Validation of Machine-Learning Predictions for Inorganic Lithium- and Sodium-Ion Solid-State Electrolytes: A Structured Audit of 51 Studies.” Supplementary Data S1 contains the study index, coverage information, bibliographic records, and evidence locators. Supplementary Data S2 provides the minimum data schema, field definitions, database crosswalks, and completed examples. Supplementary Data S3 contains the coded evidence matrix, item-level decision rationales, coding-agreement results, and operational definitions used for the assessment of 51 original studies.

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