Bibliographic record
Abstract
absorption near edge structure 1p-LSM see one-photon laser scanning microscopy 2D imaging, LSM 475-476, 475 2p-LSM see two-photon laser scanning microscopy 3D imaging, LSM 475, 476, 477, 491-493, 492, 493 4D imaging, LSM 476-477 aberrations, in optical laser-induced breakdown detection 576, 578 absorption edges, in X-ray absorption spectroscopy 617 accessory techniques, used with TEM 348-349 ACF see autocorrelation function acid polysaccharides (APS) 124-125, 136-137, 136 acoustic signals 556, 557, 570-571, 571, 579-584, 592, 602 actinides 202-205, 203, 204, 587-590, 588 added mass method 433-434 adhesion forces, in AFM 428, 441-446, 442 adsorption of humic substances at inorganic colloid surfaces 109 of labels for FCS 518, 519, 520-521, 526, 527 of samples for AFM samples 413, 414 see also binding adsorptive stripping voltammetry (AdSV) 120 AEM see analytical electron microscopy aerosols 349-350, 352, 595 aFlFFF see asymmetric flow field-flow fractionation AFM see atomic force microscopy agarose gels 531, 537-544, 538, 539, 540, 543 aggregation AFM 420, 422, 425-426 colloid-trace element binding 101 electron microscopy 370, 372-373, 385-388 electrophoresis interference 282 exudate structure 106-107 FCS 514-515, 533-537, 534-535, 534-537, 536 field-flow fractionation 254 of humic substances 254, 425-426, 534-537, 536 of organic matter in lake water 385-388 process analysis 370, 372-373, 420, 422 of schizophyllan 533-535, 534-535 aggregation artefacts, in AFM samples 415 alginate, AFM 424, 424 aluminium 196, 197-199, 533, 534-535, 650 aluminosilicate colloids, LIBD 587-588, 588 americium 203-205, 204 amplitude, of extended X-ray absorption structure signal 619, 619 analytical electron microscopy (AEM) applications of 378-390 combined with X-ray absorption spectroscopy 638 correlative procedures 365 techniques 347-349, 349-350 antibody fluorophore conjugates 474 apparent electrophoretic mobility 294 apparent surface complexation constants 118 APS see acid polysaccharides aquatic colloids AFM 422-428 definitions 162, 163, 164 FCS 516-517 field-flow fractionation 223-269 E nvironmental Colloids and P ar ticles : Behaviour, Separation and Characterisation E dited by K .J .
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.825 | 0.783 |
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".