feelpp/feelpp: v0.102.0
Bibliographic record
Abstract
Change Log v0.102.0 (2017-04-08) Full Changelog Implemented enhancements: Support install rule in feelpp_add_application #842 Add project name in feelpp application #841 Reorganize models into toolboxes #839 update Eigen3 #828 Improve interface to Gmsh mesh readers #826 Improve interface to Gmsh mesh readers #826 Support GSL #817 Support mesh scaling to get proper dimension units #805 Support loading a CSV file #802 Improve expression Evaluator #797 Support boost 1.61 #794 Add support for ipopt #791 Add support for ipopt #791 move log files to result directory #787 Remove some files that are obsolete #773 Support visibility attributes #772 cleanup Ginac verbosity #771 Add support for libc++ in linux #767 Expose primal, dual and L2 preconditioners in CRBModel #766 Move physical marker management to MeshBase #765 Support automatic code reformatting according to Feel++ coding rules #763 Support elementswithmarkedfaces #762 CRB / PC #759 Support PETSc 3.7 #756 Provide the complement of a set of entities #754 Support concatenation of entity sets #752 Support add scalar quantity in Exporter interface #750 Support buildkite #748 Supports Eigen::Tensor serialization #744 support for med format for mesh #735 Interpolate a dataset #733 Support for io streams in parallel #715 loadMesh behaviour when msh filename is wrong #668 Update gflags/glog support #642 Add support for external storage in FunctionSpace::Element #393 Support variable expansion in options #391 Move levelset core to feel++ #390 Move levelset core to feel++ #390 Feature/optimize mesh #832 (prudhomm) Feature/optimize mesh #832 (prudhomm) Feature/optimize #830 (prudhomm) Feature/cmake gflags glog #825 (prudhomm) Simplifying some aspects of the runtime environment #788 (prudhomm) Feature/visibility #783 (prudhomm) Feature/visibility #783 (prudhomm) Feature/ls #774 (prudhomm) Feature/crb clean #745 (prudhomm) Feature/hdg #712 (prudhomm) Fixed bugs: CMake process fails from scratch at GINAC step #860 FTBS on Debian/Testing with gcc 6.2.0 #818 FTBS on Debian/Testing with gcc 6.1.1 #812 Bug in blockns preconditioner when vector is not ghosted #755 Bug in path of ensightgold scalar quantity file #751 FTBS applications/crb/heat1d with g++ 4.8.2 #267 Closed issues: Reduce quickstart to Laplacian and Stokes applications #837 Split mesh_partitioner files to reduce memory cost at compilation #835 Support staged compilation and installation #834 Support nnz() member function in MatrixSparse class #821 Bdf - Order > 1 #814 Update eigen3 #809 segfault with PtAP in sequential #806 Support mesh for visualisation in MixedPoisson #804 Support boundary conditions defined in data file #803 CMake / CTest #801 Upgrade Eigen in feature/hdg #799 Minimal version of Feel++ #790 Issue with petsc/ublas vector (probably copy) with petsc 3.7 #770 Document and improve traits for functionspace and their elements #753 brew install duplicated source #746 Fix FindPETSc on HomeBrew/MacosX #743 Cmake installation with install-feelpp #662 Merged pull requests: Feature/interpreter #872 (gdolle) Feature/minor fixes from imft #871 (Doyeux) Feature/mesh memredux #851 (vincentchabannes) Feature/slepc mumps #848 (romainhild) feature/meshStructured #847 (LANTZT) Feature/toolboxes #840 (prudhomm) Feature/fix install #838 (prudhomm) Feature/fix clang4 #836 (prudhomm) Feature/eigen3 #829 (prudhomm) Add support for MESH and MED mesh format #824 (Trophime) fixes #809 #810 (prudhomm) Feature/improve evaluator #798 (prudhomm) Feature/ls #796 (prudhomm) Feature/glog crbjson #795 (prudhomm) Implements Feature/minimal #792 (prudhomm) Feature/Holo3 #785 (prudhomm) Feature/altair #777 (prudhomm) Feature/elements with marked faces #768 (prudhomm) Add HDF5 format for CRB database #758 (aancel) Feature/petsc37 #757 (vhuber) Feature/interpolator #749 (vhuber)
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.008 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.619 | 0.671 |
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".