Bibliographic record
Abstract
a absolute activity 165 all-atom (AA) force field 68 American Mineralogist Crystal Structure Database (AMCSD) 203 analytical solutions, of Newton's equations motion under, influence of drag force 15-17 object under constant gravitational force 8-10 one-dimensional harmonic oscillator 10-12 radial force functions, in three-dimensions 12-15 Andersen barostat 3, 179, 186, 192, 195-196 angle bending potentials 50, 51 angular distributions 59 angular frequency 10-11, 26 angular momentum 1, 7, 15, 34-38, 40, 115-116 aqueous environments 237 Assisted Model Building with Energy Refinement (AMBER) 66, 69, 216 force field 66-68, 70 atomic/molecular motions 244 auxiliary Drude charge 62 average (mean, expectation value), of probability distribution 103 average displacement 83, 244 b balance equation 259 ballistic motion 241-242 barostat mass factors 192 base-centered (A, B, or C) lattices 202 Berendsen thermostat 189-192 beta function integrals 134-135 binomial or Bernoulli distribution 265 biological molecules 62, 66-69, 199, 214-219 block averaging, gas adsorption isotherm 291 body centered (I) lattices 202 Boltzmann factor 59, 61 bond length (atom-atom distance) constraints 91 bond stretch potentials 45, 48-51 Born-Oppenheimer approximation 42-44, 54, 71 boundary conditions 3, 73-79, 82, 84-85, 183, 208, 216, 223, 238-239, 261, 263, 270, 274 Box-Muller formula 136-137 Bravais lattices 202 Brownian motion 121, 240, 263-265 bulk density 207, 230 bulk number density 205 c Cambridge Crystallographic Data Centre (CCDC) 203 Canonical (isothermal-isochoric + isothermal-isometric) ensemble partition function 175
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.746 | 0.692 |
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".