PSI-PROF: Update RSV submission

[jturtle]

• We found that the final calibration step was not always working as intended. The issue has been fixed and results updated for this commit.

[github-actions]

[1] "Run validation on file: 2023-11-12-PSI-PROF.gz.parquet"

Columns:

No errors or warnings found on the column names and numbers

Scenarios:

No errors or warnings found on scenario name and scenario id columns

Origin Date Column:

No errors or warnings found on the column 'origin_date'

Value and Type Columns:

No errors or warnings found on Value and Type columns

Target Columns:

🟡 Warning 602: No value found associated with the targets: inc hosp (optional), cum hosp (optional); output_type: quantile.
🟡 Warning 602: No value found associated with the targets: peak size hosp (optional); output_type: quantile.
🟡 Warning 602: No value found associated with the targets: peak time hosp (optional); output_type: cdf.

Locations:

No errors or warnings found on Location

Sample:

No errors or warnings found on Sample

Quantiles:

No errors or warnings found on quantiles values and format

Age Group:

No errors or warnings found on Age_group

[LucieContamin]

Thank you for the update,
I just wanted to verify I understand correctly the "sample" run_groupingand stochastic_run columns. It seems that each model run has a different run_grouping set grouped by age_group, horizon, scenario_id (model run independent) and the runs are not stochastic (no stochasticity), is that correct?

Please feel free to let me know if any questions or issues,
Best,

Lucie

[jturtle]

Hi Lucie, That is correct, we have no stochasticity. For the groupings I am less sure that I understand you clearly, and I am also not entirely sure that I executed it correctly. In our model, each independent run produces samples for all horizons, age groups, and scenarios. Please let me know if our submission suggests something different. Thanks, Jamie

…

On Mon, Jan 8, 2024 at 8:23 AM Lucie Contamin ***@***.***> wrote: Thank you for the update, I just wanted to verify I understand correctly the "sample" run_groupingand stochastic_run columns. It seems that each model run has a different run_grouping set grouped by age_group, horizon, scenario_id (model run independent) and the runs are not stochastic (no stochasticity), is that correct? Please feel free to let me know if any questions or issues, Best, Lucie — Reply to this email directly, view it on GitHub <#16 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACVOD237GKDCUXUM554Y6KTYNQMRPAVCNFSM6AAAAABBHAO362VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOBRGQYDKOJXGQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[LucieContamin]

Hi Jamie,
Thanks for the reply,
Following your answer, the two columns seem to be all correct to me. Thanks again

Best, Lucie

[jturtle]

Thank you!

…

On Mon, Jan 8, 2024 at 10:03 AM Lucie Contamin ***@***.***> wrote: Hi Jamie, Thanks for the reply, Following your answer, the two columns seem to be all correct to me. Thanks again Best, Lucie — Reply to this email directly, view it on GitHub <#16 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACVOD2YC3AAVPGCSGFK5QZLYNQYGLAVCNFSM6AAAAABBHAO362VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOBRGU3TOMZZG4> . You are receiving this because you authored the thread.Message ID: ***@***.***>