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wiki:autolit:screening:inclusionpredictionmodel [2024/07/24 16:50] jthurnham [Running the Screening Model] |
wiki:autolit:screening:inclusionpredictionmodel [2024/09/23 11:59] (current) jthurnham [Interpreting Robot Screener] |
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The below guidance is specifically for using Robot Screener, for information on training the model for probability generation only and general information on how the model works see [[wiki: | The below guidance is specifically for using Robot Screener, for information on training the model for probability generation only and general information on how the model works see [[wiki: | ||
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===== Robot Screener ===== | ===== Robot Screener ===== | ||
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**Robot Screener may only be turned on in Dual Screening modes** and it's important to note at what stage they are generated and the language used: | **Robot Screener may only be turned on in Dual Screening modes** and it's important to note at what stage they are generated and the language used: | ||
- | * Standard Mode: Robot Screener replaces a reviewer in the singular round of Screening based on //Inclusion Probabilities.// | + | * Dual Standard Mode: Robot Screener replaces a reviewer in the singular round of Screening based on //Inclusion Probabilities.// |
- | * Two Pass Mode: Robot Screener replaces a reviewer in the Title/ | + | * Dual Two Pass Mode: Robot Screener replaces a reviewer in the Title/ |
{{youtube> | {{youtube> | ||
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===== User Guide ===== | ===== User Guide ===== | ||
- | ==== Running the Screening Model ==== | + | ==== Settings |
- | To learn about configuration settings, which enable you to toggle Manual updating vs. Automatic and Displayed vs. Hidden, see the [[: | + | To turn on Robot Screener, head to Nest Settings |
- | In its default setting, the Screening Model must be run manually. To do so, click "Train Screening Model" on the Screening panel: | + | {{ :undefined: |
- | {{ : | + | Not displayed? You must be in a Dual Screening mode to use Robot Screener. |
- | Once the modal opens, click "Train New Model." | + | Want to use Automatic Training for use in manual screening instead? [[wiki: |
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+ | ==== Meeting | ||
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+ | When toggling Robot Screener, you'll be presented with an instructional | ||
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+ | {{ : | ||
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+ | Highlighted in red are the requirements for training the screening model, and the actual numbers based on the progress made in your nest. You will not be able to turn on Robot Screener until these minimum requirements are met. | ||
<WRAP center round important 60%> | <WRAP center round important 60%> | ||
- | To provide the model with sufficient information to begin understanding your review, we require **50 total adjudicated screening decisions with 10 advancements | + | Before Robot Screener can be turned on, 50 adjudicated screening decisions with 10 advancements/inclusions |
</ | </ | ||
- | It may take a minute | + | Once trained and turned on, the Robot is assigning both inclusion probabilities and actual screening decisions |
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+ | ==== Interpreting Robot Screener ==== | ||
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+ | At any time, you may wish to view how the screening model is performing. To view the model performance, | ||
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+ | {{ : | ||
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+ | This will display a histogram under the " | ||
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+ | You can also view the Robot Screener recommendations in the Screening model modal. Select " | ||
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+ | With Predictions toggled: | ||
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+ | {{ : | ||
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+ | With Cross Validation toggled: | ||
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+ | {{ : | ||
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+ | [[wiki: | ||
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+ | ==== Improving Robot Screener ==== | ||
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+ | The best way to improve Robot Screener, is to adjudicate records, since these are the decisions it trains on. We recommend, if you can, have your adjudicator make their final decisions on the Adjudicate Screening page after every 50 studies are screened for best model performance. For reference, the following is what adjudicators will see for records that have one human and one Robot Screener decision applied: | ||
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===== Robot Screener Validation Studies ===== | ===== Robot Screener Validation Studies ===== | ||