Port to glycerin optimization project to new repository

[sgbaird]

https://github.com/AccelerationConsortium/North-Cytation/blob/main/workflows/calibration_sdl_base.py

https://github.com/AccelerationConsortium/North-Cytation/blob/main/workflows/calibration_sdl_short.py

https://github.com/AccelerationConsortium/North-Cytation/blob/main/workflows/calibration_sdl_short_abs.py

https://github.com/AccelerationConsortium/North-Cytation/blob/main/workflows/calibration_simple.py

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lower level control

North-Cytation/workflows/calibration_sdl_base.py

Line 21 in 132a420

def pipet_and_measure_simulated(volume, params, expected_mass, expected_time):

https://github.com/AccelerationConsortium/North-Cytation/blob/main/pipetting_data/pipetting_parameters.py#L14

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https://github.com/AccelerationConsortium/North-Cytation/blob/main/recommenders/pipeting_optimizer_v2.py

https://github.com/AccelerationConsortium/North-Cytation/blob/main/recommenders/llm_optimizer.py

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data: https://accelerationc.slack.com/archives/D06CB1H00E6/p1759161619804029

most up-to-date version as of 2025-10-01: https://accelerationc.slack.com/files/U05GHP67Q4Q/F09J226HTEF/summary_data_oct_01_2025.zip (processed_raw_replicate_data (?) most important)

"Strategy unknown" are probably the replicates

recent presentation: https://utoronto-my.sharepoint.com/:p:/r/personal/owen_melville_utoronto_ca/Documents/Presentation%201.pptx?d=w0e7afa29a9214136ac7c4a2e779e5583&csf=1&web=1&e=KxGt09

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Sterling todo: Come up with suggestions for the target dataset

Let's get Ilya's feedback related to working with glycerol (e.g., new batch of glycerol, or at least making sure to track that metadata)