model_summary

model_summary

Generate summary statistics for GO-CAM biological models including individual counts, fact counts, and predicate distribution analysis to assess model complexity and structure.

Instructions

Get a summary of a GO-CAM model including counts and key information.

Args: model_id: The GO-CAM model identifier

Returns: Summary with individual count, fact count, and predicate distribution

Examples: # Get summary of a model result = model_summary("gomodel:5fce9b7300001215") # Returns: # { # "model_id": "gomodel:5fce9b7300001215", # "state": "production", # "individual_count": 42, # "fact_count": 67, # "predicate_distribution": { # "RO:0002333": 15, # enabled_by (note: not in vetted list) # "RO:0002411": 8, # causally upstream of # "BFO:0000066": 12, # occurs_in # "BFO:0000050": 5 # part_of # } # }

# Check if a model is empty result = model_summary("gomodel:new_empty_model") if result["individual_count"] == 0: print("Model is empty") # Analyze model complexity result = model_summary("gomodel:12345") causal_edges = result["predicate_distribution"].get("RO:0002411", 0) causal_edges += result["predicate_distribution"].get("RO:0002413", 0) # provides input for causal_edges += result["predicate_distribution"].get("RO:0002629", 0) # directly positively regulates causal_edges += result["predicate_distribution"].get("RO:0002630", 0) # directly negatively regulates print(f"Model has {causal_edges} causal relationships")

Input Schema

Name	Required	Description	Default
`model_id`	Yes

Input Schema (JSON Schema)

{ "properties": { "model_id": { "type": "string" } }, "required": [ "model_id" ], "type": "object" }

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Instructions

Input Schema

Input Schema (JSON Schema)

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