Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Improving lung cancer decision-making using a conversation tool (iDECIDE): a stepped wedge pragmatic clinical trial Dataset posted on 2025-03-18 in Taylor & Francis Group Natalie DisherPermanentFILES UNDER EMBARGO Spatial aspects of unemployment in South Africa 1991-2007 (UNEMPL): Municipalities - All provinces Dataset posted on 2025-03-18 in HSRC Human Sciences Research CouncilCHAPTER No Podcast Ever Gets Made: A Case Study and Methodology for Human-AI Collaborative Storytelling Podcasts Chapter posted on 2025-03-18 in Singapore Institute of Technology Jeffrey T. K. V. Koh COLLECTION: Infrared Matrix-Assisted Laser Desorption Electrospray Ionization (IR-MALDESI) Mass Spectrometry Imaging of Per- and Polyfluoroalkyl Substances (PFAS) in Stabilized Soil Cores Posted on 2025-03-18 in American Chemical Society Theresa Guillett
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.982 | 0.030 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it