PubMed
open access
CC BY 4.0
Examining the utility of digital phenotyping for the prediction of intrusive experiences.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Examining the utility of digital phenotyping for the prediction of intrusive experiences#164917
- Examining the utility of digital phenotyping for the prediction of intrusive experiences.#161909
- Healthy Expectation vs. Prediction in LMT Dynamics v2.0— Implications for AI Relationships, Human Relationships, Persona Design, and Stress Reduction —#78765
- Affective Control and the Meta-Problem of Resistance: Operating-Condition Self-Modeling, Content-Relata, and the Grip/Vividness Dissociation#695669
- Imagining the Future: Modality Effects of Mental Imagery, Verbal Reasoning, and Virtual Reality on Behavioural Engagement Predictions in Dysphoria#276623
Record · ID 160145
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive