USC-SIkJalpha Disparity Round 1 Submission #11
Conversation
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Run validation on files: 2024-06-25-USC-SIkJalpha.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:🟡 Warning 505: Some location/target/scenario groups have a unique value for the whole projection period. Please verify: 2020-11-15, A-2020-05-01, 37, latino, inc inf Target Columns:No errors or warnings found in target and associated columns 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 Race Ethnicity:❌ Error 1001: The |
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If the submission contains projection file(s) with quantile projection, a pdf containing visualization plots of the submission is available and downloadable in the GitHub actions. Please click on 'details' on the right of the 'Validate submission' checks. The pdf is available in a ZIP file as an artifact of the GH Actions. For more information, please see here |
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Run validation on files: 2024-06-25-USC-SIkJalpha.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:🟡 Warning 505: Some location/target/scenario groups have a unique value for the whole projection period. Please verify: 2020-11-15, A-2020-05-01, 37, asian, inc death Target Columns:No errors or warnings found in target and associated columns 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 Race Ethnicity:No errors or warnings found on |
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If the submission contains projection file(s) with quantile projection, a pdf containing visualization plots of the submission is available and downloadable in the GitHub actions. Please click on 'details' on the right of the 'Validate submission' checks. The pdf is available in a ZIP file as an artifact of the GH Actions. For more information, please see here |
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Hi @maa989 Thank you for your submission, I just wanted to verify that I understand correctly the sample ID numbering: there is no stochasticity, every models runs has a different run_grouping "grouped" by race_ethnicity, location, horizon, and, target. Is that correct? Also, would it be possible to remove the sub-folder in the model-metadata folder. The Please let me know if any issues or questions, Best, Lucie |
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Hi @LucieContamin, yes that is correct there is no stochasticity. I have also removed the sub-folder in the model-metadata folder. Let me know if there are any other concerns or questions. Best, |
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Thanks for the metadata update and apologies for the multiple message, but looking at the PDF results in the validation action, it seems that your death projection are on the same scale as the infection, with for example a median peak close to 600000 for the overall population in CA. Is that expected? |
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Run validation on files: 2024-06-25-USC-SIkJalpha.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:🟡 Warning 505: Some location/target/scenario groups have a unique value for the whole projection period. Please verify: 2020-11-15, A-2020-05-01, 37, asian, inc death Target Columns:No errors or warnings found in target and associated columns 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 Race Ethnicity:No errors or warnings found on |
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If the submission contains projection file(s) with quantile projection, a pdf containing visualization plots of the submission is available and downloadable in the GitHub actions. Please click on 'details' on the right of the 'Validate submission' checks. The pdf is available in a ZIP file as an artifact of the GH Actions. For more information, please see here |
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Thanks for noticing! there was a small bug when converting the results. This should be fixed now |
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thanks for the quick update, it looks all good now! |
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