Use LLMs to create data models for Open Products Facts categories
Can you list as bullet points the relevant data fields to describe "Molecular diagnostics analyzer" for a product datasheet.
Product Name: Molecular Diagnostics Analyzer
Application: [specify the type of sample analysis, such as clinical or research]
Technology: [indicate the molecular diagnostic technology used, such as PCR, NGS, etc.]
Sample type compatibility: [list the types of samples that can be analyzed, such as blood, saliva, etc.]
Detection methods: [indicate the types of targets the analyzer can detect, such as DNA, RNA, pathogens, etc.]
Throughput: [indicate the number of samples that can be processed per unit of time, such as per hour or day]
Run time: [specify the total time required for a sample analysis, from sample preparation to result generation]
Sensitivity: [indicate the minimum concentration of the target that can be detected]
Specificity: [indicate the degree of accuracy in detecting the target of interest, as well as avoiding false positive results]
Data management: [indicate the type of data storage and analysis capabilities, such as cloud storage, real-time data analysis, etc.]
User interface: [describe the type of interface for sample analysis, such as touchscreen or computer-based]
Power source: [indicate the type of power required, such as AC power or battery-operated]
Dimensions: [provide the physical dimensions of the analyzer, such as height, width, and depth]
Weight: [indicate the weight of the analyzer for ease of transport and handling]
Brand: [name of the brand producing the product]
SKU or product code: [unique identifier for the product]
What
Use LLMs to create data models for Open Products Facts categories
Can you list as bullet points the relevant data fields to describe "Molecular diagnostics analyzer" for a product datasheet.Product Name: Molecular Diagnostics Analyzer
Application: [specify the type of sample analysis, such as clinical or research]
Technology: [indicate the molecular diagnostic technology used, such as PCR, NGS, etc.]
Sample type compatibility: [list the types of samples that can be analyzed, such as blood, saliva, etc.]
Detection methods: [indicate the types of targets the analyzer can detect, such as DNA, RNA, pathogens, etc.]
Throughput: [indicate the number of samples that can be processed per unit of time, such as per hour or day]
Run time: [specify the total time required for a sample analysis, from sample preparation to result generation]
Sensitivity: [indicate the minimum concentration of the target that can be detected]
Specificity: [indicate the degree of accuracy in detecting the target of interest, as well as avoiding false positive results]
Data management: [indicate the type of data storage and analysis capabilities, such as cloud storage, real-time data analysis, etc.]
User interface: [describe the type of interface for sample analysis, such as touchscreen or computer-based]
Power source: [indicate the type of power required, such as AC power or battery-operated]
Dimensions: [provide the physical dimensions of the analyzer, such as height, width, and depth]
Weight: [indicate the weight of the analyzer for ease of transport and handling]
Brand: [name of the brand producing the product]
SKU or product code: [unique identifier for the product]
MSRP: [manufacturer's suggested retail price].
Originally posted by @teolemon in https://github.com/openfoodfacts/openfoodfacts-ai/discussions/272#discussioncomment-4904185
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