II.
LibraryProcess JSON
Structured · livelib-process:scientific-discovery--causal-inference
causal-inference json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:scientific-discovery--causal-inference",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "causal-inference",
"description": "Causal Inference Process - Identify causal relations and predict intervention effects\nusing structural causal models, do-calculus, and potential outcomes frameworks for scientific discovery.",
"libraryPath": "library/specializations/domains/science/scientific-discovery/causal-inference.js",
"specialization": "scientific-discovery",
"references": [
"- Pearl, J. (2009). Causality: Models, Reasoning, and Inference\n- Imbens & Rubin (2015). Causal Inference for Statistics, Social, and Biomedical Sciences\n- Peters, Janzing, Scholkopf (2017). Elements of Causal Inference\n- Hernan & Robins (2020). Causal Inference: What If"
],
"example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/causal-inference', {\n domain: 'Epidemiology',\n variables: ['smoking', 'lung_cancer', 'age', 'genetics'],\n researchQuestion: 'What is the causal effect of smoking on lung cancer controlling for confounders?',\n priorKnowledge: ['Age affects both smoking probability and cancer risk']\n});",
"usesAgents": [
"causal-reasoning-analyst",
"statistical-consultant",
"rigor-assessor"
]
},
"outgoingEdges": [
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "skill-area:data-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "skill-area:statistical-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "skill-area:deep-web-research",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.5
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "domain:scientific-discovery",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "role:research-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "workflow:experiment-design",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "workflow:peer-review-cycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "specialization:scientific-research-methods",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "specialization:scientific-discovery",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 0.9
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "lib-agent:scientific-discovery--causal-reasoning-analyst",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "lib-agent:scientific-discovery--statistical-consultant",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:scientific-discovery--causal-inference",
"to": "lib-agent:scientific-discovery--rigor-assessor",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
}
],
"incomingEdges": []
}