Bibliographic record
Abstract
adsorption, critical conditions of, 248-249 AgTFA, as cationization reagent, 151, 152 analyte incorporation in matrix of, 137 analyte desorption, in MALDI process, 133 analyte ionization, in MALDI process, 133-134 analyte S/N ratio, 140 analyzer cell cubic vs. cylindrical, 65, 66 excitation of ions within, 65 1,8,9-anthracenetriol (dithranol), 131, 131 atmospheric pressure (AP)-MALDI-TOF mass spectrometer, 252-253 atmospheric pressure chemical ionization (APCI), 94 atom transfer radical polymerization (ATRP), 235, 236 ATRP.See atom transfer radical polymerization autocorrelation, mass, 208-210, 209 ball-milling.See also mini-ball-mill method compared with Soxhlet extraction, 182 for homogenization of polymeric material, 162, 164 blackbody infrared radiative dissociation (BIRD), 66 blended materials, MALDI analysis of, 282 blend quantitation issues, 283-285, 284, 285, 286, 286 289 block copolymers, 54 BMA.See butyl methacrylate; MMA/BMA block copolymer butyl methacrylate (BMA), 236 CAD.See collisionally activated dissociation cationization of PDMS, 177 with silver, 175 cationization agents choice of, 142-144, 143 for MALDI of polymers, 17-18 cation selection, MALDI-MS/MS experiments, 223, 224 charge-induced fragmentation pathway, 109, 110 charge-remote fragmentations, via radical intermediates, 113, 113-117, 114, 116 charge-remote rearrangements, for polymer fragmentation, 111-112, 112 chemical composition distribution (CCD) investigation of, 54 in LC-MALDI MS,254-256, 255, 256 chemical heterogeneity distribution (CHD), of synthetic polymers, 248, 248 chemical ionization (CI), 2 "CHIRP" excitation, 64 chromatography.See also liquid chromatography coupling of MALDI-TOF MS to examples, 254-261, 255-262 principles, 251 MALDI Mass Spectrometry for Synthetic Polymer Analysis, Edited by Liang Li
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.632 | 0.550 |
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".