|             | As-quenched ribbon | As-quenched ribbon | As-quenched ribbon | Powders   | Powders       | Powders       | Powders       |
|             | Bulk               | Shiny side         | Dull side          | As-milled | Pressed 1 min | Pressed 3 min | Pressed 6 min |
| <H hf>  (T) | 22.9               | 23.2               | 22.5               | 22.8      | 22.3          | 22.3          | 22.3          |
| D 23        | 2.8                | 3.8                | 3.7                | 2.0       | 2.2           | 2.1           | 2.1           |

Caption: The average magnetic hyperfine fields, <H hf> , and spin orientation parameters, D 23, determined from the fits of the Mossbauer spectra of differently prepared Fe60Co10Ni10Zr7B13 amorphous alloys (errors of the estimation of the <H hf> and D 23 parameters are +-0.1 T and +-0.1, respectively)

You are provided with a table from a material science paper. Here are JSON templates for two types of numeric cells: "Other" and "Glass_Compound_Amount":
{"value": "xx", "type": "Other"}
{"value": "xx", "type": "Glass_Compound_Amount", "constituent": "xx", "unit": "xx", "material": "xx"}

Please describe all numeric cells in the above table following the JSON templates (proceeding by row in a left-right, top-down direction). For each cell, output one JSON description per line. For any unanswerable attributes in the templates, set their value to the placeholder "xx".

Cell Description:
{"value": "22.9", "type": "Other"}
{"value": "23.2", "type": "Other"}
{"value": "22.5", "type": "Other"}
{"value": "22.8", "type": "Other"}
{"value": "22.3", "type": "Other"}
{"value": "22.3", "type": "Other"}
{"value": "22.3", "type": "Other"}
{"value": "2.8", "type": "Other"}
{"value": "3.8", "type": "Other"}
{"value": "3.7", "type": "Other"}
{"value": "2.0", "type": "Other"}
{"value": "2.2", "type": "Other"}
{"value": "2.1", "type": "Other"}
{"value": "2.1", "type": "Other"}