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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.209 | 0.029 |
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; both teacher heads agree on what is shown here.
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".