Get a list of ProcedureComputation objects. ProcedureComputations have a 1:1 mapping with Observations.

### Available end points:

- `/ProcedureComputations/` - Will list all ProcedureComputations in the database
- `/ProcedureComputations.json` - Will return all ProcedureComputations in json format
- `/ProcedureComputations/<object_id>/` - Returns ProcedureComputations object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `uuid`
- `title`
- `keywords`
- `abstract`

### How to use filters:

These filters can be used like django query filters using __ for related model relationships.

- `/computations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/computations/?title__startswith!=DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE`
- `/computations/?abstract__contains=HadCM3 model`

GET /api/v2/computations/40328/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 40328,
    "uuid": "64e362ad3e4040d7a2772d16cc2d04ab",
    "title": "Distributed Lag Non-linear Model (DLNM)",
    "abstract": "Statistical regression using distributed lag non-linear model is fully described in Gasparrini, Armstrong and Kenward, 2010, and Vicedo-Cabrera, Sera and Gasparrini, 2019.\r\nComputation details for Temperature-attributable mortality (and hospital admission) time series, UK (1900-2099) dataset.\r\nModel setup: natural cubic splines in all dimensions, 3 log-spaced knots in lag dimension, 8 degrees of freedom per year in long-term trend, confounding by day of week.\r\n\r\n- Mortality: temperature knots at 0.1, 0.75, 0.9 quantiles, 21 lag days.\r\n\r\n- Hospital admission: temperature knots at 0.4, 0.9 quantiles, 28 lag days.",
    "keywords": "",
    "inputDescription": null,
    "outputDescription": null,
    "softwareReference": null,
    "identifier_set": []
}