Planck 2015 results XX. Constraints on inflation
Bibliographic record
Abstract
The Planck Collaboration acknowledges the support of:\n\t\t\t\t ESA; CNES and CNRS/INSU-IN2P3-INP (France); ASI, CNR, and INAF\n\t\t\t\t (Italy); NASA and DoE (USA); STFC and UKSA (UK); CSIC, MINECO,\n\t\t\t\t JA, and RES (Spain); Tekes, AoF, and CSC (Finland); DLR and MPG\n\t\t\t\t (Germany); CSA (Canada); DTU Space (Denmark); SER/SSO (Switzerland);\n\t\t\t\t RCN (Norway); SFI (Ireland); FCT/MCTES (Portugal); ERC and PRACE\n\t\t\t\t (EU). A description of the Planck Collaboration and a list of its members, indicating which technical or scientific activities they have been involved in, can be found at http://www.cosmos.esa.int/web/planck/\n\t\t\t\t planck-collaboration. This research used resources of the National Energy\n\t\t\t\t Research Scientific Computing Center, a DOE Office of Science User Facility\n\t\t\t\t supported by the Office of Science of the US Department of Energy under\n\t\t\t\t Contract No. DE-AC02-05CH11231. Part of this work was undertaken at the\n\t\t\t\t STFC DiRAC HPC Facilities at the University of Cambridge, funded by UK BIS\n\t\t\t\t National E-infrastructure capital grants. We gratefully acknowledge the IN2P3\n\t\t\t\t Computer Center (http://cc.in2p3.fr) for providing a significant amount of\n\t\t\t\t the computing resources and services needed for this work.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.152 | 0.064 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".