Bibliographic record
Abstract
a AA/BB Suzuki polycondensation 71-73 AA-type Yamamoto polymerization 206, 208 AB Suzuki polycondensation 71-73 A 2 B 2 -type Diels-Alder polymerization 205 AB-type Diels-Alder polymerization 206, 207 A 2 B 2 -type Suzuki polymerization 205-208 active metal template approach 258, 259 alkoxy substituted PPVs 16 all-conjugated block copolymers 116 alternating copolymer synthesis 117 amphiphilic hexayne 271 anionic cyclodehydrogenation reaction 194 aryltin compound synthesis 2 Asao-Yamamoto benzannulation 272, 273 b BAHA see tris(4-bromophenyl)ammoniumyl hexachloroantimonate (BAHA) base-induced cyclodehydrogenation 192, 193 batch-by-batch process 159 batch processing and flow chemistry 159, 160 B-containing nanographene molecule 202, 203 B-doped GNR on Au(111) surface 214 benzothiadiazole (BT) 19 benzothiophene-fused HBC 201 -branching problem 138 BFI-based acceptor materials 31 Bingel reaction 175 biphenylene-based molecule 198 2-2 ′ -bithiophene 138 block copolymers all-conjugated 116 catalyst transfer polycondensation end-functional polymer copolymerization method 113 grafting-from method 114 grafting-to method 112 sequential monomer addition method 114 conjugated-non-conjugated 116 Kumada catalyst transfer polycondensation 115 synthesis methods 113 bottom-up approach 255 bottom-up GNR synthesis 205 branched and cross-linked poly(3-hexylthiophene) 138, 140 c Campos' polydiphenyldiacetylene (PDPDA) formation 263 carbomers 286 carbon nanomaterials see also direct C-H arylation bottom-up strategy 230 top-down methods 229 carbon structures, TEM images 256 carbyne 256 chemical structures of 257
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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 | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.847 | 0.797 |
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".