Self-Assembly Growth of Organic Thin Films and Nanostructures by Molecular Beam Deposition. An Interesting and Unexpected Story
Bibliographic record
Abstract
Introduction Organic thin films and nanostructures have attracted increasing interest for their potential applications in a variety of advanced technologies, including nonlinear optics (NLO), microelectronics, nanotechnology, light emitting devices, field-effect transistors, liquid crystals, sensors, and solar cells (1-7). For many of these applications, the device performance is crucially dependent on the orientation of the functional molecules in the film or the nanostructure (1-3). Therefore, methods for 3) Current addresses. CC: Department of Chemistry, University of Houston, Houston, TX 77204-5641. BM: Biocompatible Materials Science and Engineering, ETH Ziirich. YT: Institute for Microstructural Sciences, National Research Council Canada, M-50 Montreal Road, Rm 178, Ottawa, Ontario, Canada K1A 0R6. alignment of molecules in the structures are of great technological interest. The alignment can be centrosymmetric or non-centrosymmetric. Non-centrosymmetric alignment is more ch
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".