Synthesis and characterization of porous nanocrystalline biphasic calcium phosphate for bio applications
Bibliographic record
Abstract
The nano crystalline biphasic calcium phosphates of hydroxyapatite (HAp)/β-tricalcium phosphate (β-TCp) in the ratio 80:20 and 72:28 with interconnected porosity have successfully been prepared by co-precipitation method using mixed catanionic surfactants as template. The sample was calcinated at various temperatures for 8 h. The samples were characterized using X-ray diffraction, Fourier transform infrared spectroscopy, Field emission scanning electron microscopy (FESEM) and thermal analyser. The samples calcinated at 750°C and 850°C show 75% and 89% of crystallinity respectively. Usually to obtain the biphasic calcium phosphates, either the medium will be set as acidic by altering the pH or the Ca/P ratio can be set below the value of 1.5. However this experiment was neither conducted with low Ca/P ratio (≤1.5) nor at low pH (≤7) to obtain the mixed phase. The combination of surfactants and calcination temperature controls the HAp/β-TCp ratio.
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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 | 0.000 | 0.000 |
| 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".