Bibliographic record
Abstract
Changes: bf8f7ad22fd709778e50490474531b8377616d20 Merge pull request #1241 from jaladh-singhal/widgets/kromer_plot 7bc3afb7470b305f99a2c922e1b3dbeb52ae64c4 Removed commented debugging code & added newlines at EOF af4380a53ea160992f9a68543b938326a3816861 Made test_spectrum to handle hdf saving of scalars a58869f24af8d15544f19f398149a21465cc8d36 Added docstrings to KromerPlotter methods ecd709a98148e7c6e716cbac5d5820aa1ebe9f58 Added docstring to calculation method & improved masking 02fff169bc48d18a4fc2986265a304387934a853 Reordered methods to group related methods sequentially 2584ed4d95032de8ac0c3911253ae48b55b740a9 Fixed problems in plot when packet_wvl_range is used 1714e130256dfe68727a568f3b5fa08afe70c9b8 Reduce fontsize of mpl plot labels 41a3cb5e04ec6afaedcc28a2f0a5ba79c8d9a704 Used plot_util to make labels render in plotly 59e9a65ff3dbc61903c7518885e4f6dbb68c9ec0 Made dedicated method for showing colorbar in plotly & mpl See More 4ee827e319b563d224f24126b314f0889b4c2e76 Added plolty plotting methods dc948e8adfbd56a444173e0c3dc68d14c430fbe1 Separated calculation code in a different method a26d49a35c7da8a4ddae2a28a3a7cdc46bbdcea4 Removed redundant calculation of packet_nu_range_mask d53b0805f37ee8d953356dcb8d62359d7e14782f Isolated plotting and calculation code in generate_plot 25ae720d364959186405001817c9272e8cd4ee95 Added docstrings to data handling methods 1ee0535ad6dcb27c1ca42a4cdffd422114f16c4c Renamed spectrum_frequency to spectrum_frequency_bins 415e3607d249e56716d15535013a11d93ac2ec07 Added classmethod for reading data from hdf ce88c67ccb54d0ad7f7919d710de2a0f8546df3a Added KromerPlotter to init 48ac765b44f4f5cf7b96c4e0e529962f5fc8eb14 Added relevant properties which need to be saved dd7c2d663ba3612ab3e02ea5fc701b9a6d9fb2ff Simplified Kromer Plotter with new structure [ sn/tardisanalysis#35 ] 8957afea0deb569a76dfe689ea75638995613367 Added docstrings to data attributes 02f9500e4aa38b57d9639f00237a01945d3a1c98 Added classmethod to create plotter from hdf f7503ee14b27874552b415f05433244d10bbeea2 Added missing required properties to save in hdf 5b6a635e74944cb89ea6d810d6a65f0d2b357e1f Converted SimulationKromerPlotter to class method 6ec4b8f7cf06961d1487cd8fbc30355e937476ba Added modified kromer plot to work with widgets This list of changes was auto generated.
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.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.009 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.561 | 0.615 |
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".