Save all scores from prediction results

[mihow]

@todo

• More testing with live ML backend
• Test migration of existing detections & classifications (they shouldn't have any data in the affected fields)
• Add Algorithm & AlgorithmCategoryMap schemas to ML backends
• Ensure the schemes in the example ML backend and live ML backend are the same
• Update tests
• Add new tests for category maps
• Add tests for creation of algorithms & category maps (document how to update either)
• Fix detection of already processed images (since we now return moth/non-moth classifications, all detections are seen as already processed by every pipeline)
• Fix occurrences using moth/non-moth algorithm as the determination (likely because score is higher)
• Fix algorithms being registered multiple times
• Fix category maps from being registered multiple times
• Fix reprocessing - always is processing all images
• Test on fresh export of data from production
• Verify that full category map + scores map to expected taxa results
• Fix tests

Benefits of this change:

• Can apply post-processing filters of species by region (filter and re-weight the scores)
• Can do genus & higher taxon roll-ups
• Can get the top N (top 3, 5, 10) suggestions instead of just the first
• Labels are now entities with GBIF key, synonyms, etc. instead of just a text label - So can better map to Taxon entities in the Antenna database
• Can use confidence score algorithms other than softmax on the Antenna side (e.g. temperature calibrated)
• Allow seeing and agreeing with results from multiple models
• Uses best score from all algorithms to determine the species determination of an occurrence (not just the latest)
• Ready for detection tracking across frames!
• Can better send current results back to backend to determine reprocessing needs

While troubleshooting I should have fixed most of the issues reported in #310

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