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    "body": "We train our model with data for each week, but some training steps are made with `week == -1` which works a bit differently. We use eBird checklist frequency data for training, and for each week (when specified) we pick the value for this week from the data. For the year-round estimation, we use the maximum of all 48 values to train the model, which often results in a species list which is unique to `week == -1`. So for our model, setting week to -1 invokes a different inference mode based on maximum checklist frequency for each species, thus year-round species lists might differ from the set of all other 48 weeks.",
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    "body": "Thanks for that explanation. I take it that there is therefore no way to set a week but not risk missing certain species? (We noticed this problem when very common species to us were absent in our original jobs - e.g. Tree Sparrow, Tawny Owl). If this is the case, could there be some notes explaining this added to the docs?\r\n\r\n",
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