Authority Scoring — {DOMAIN_DESCRIPTION}
Source Type Weight (0.35)
Adapt this table to your domain. Higher weights for authoritative sources, lower for informal or unreviewed sources.
| {PRIMARY_AUTHORITATIVE_SOURCE} (e.g., official docs, peer-reviewed journals) |
1.00 |
| {SECONDARY_AUTHORITATIVE_SOURCE} (e.g., official blogs, technical reports) |
0.85 |
| {VERIFIED_COMMUNITY_SOURCE} (e.g., verified modules, accepted SO answers) |
0.70 |
| {EXPERT_INFORMAL_SOURCE} (e.g., known expert blog, conference talk) |
0.50 |
| {UNVERIFIED_SOURCE} (e.g., unknown blog, forum post) |
0.30 |
| {AI_GENERATED_SOURCE} (e.g., LLM output without citation) |
0.20 |
Recency Weight (0.25)
Adjust the decay rate for your domain. Fast-moving fields (cloud APIs, ML frameworks) decay faster. Slow-moving fields (mathematics, established medicine) decay slower.
recency_weight = max(0.20, 1.0 - {DECAY_RATE} * (current_year - last_updated_year))
| Fast (cloud, APIs, frameworks) |
0.10 |
Features change yearly |
| Medium (software practices, guidelines) |
0.07 |
Standards evolve over 2-5 years |
| Slow (established science, regulations) |
0.05 |
Knowledge is stable over decades |
Your domain decay rate: {DECAY_RATE}
| 2026 |
1.00 |
| 2025 |
{COMPUTED} |
| 2023 |
{COMPUTED} |
| 2020 |
{COMPUTED} |
Specificity Weight (0.20)
| Exact scenario match |
1.00 |
| Close match (same subfield) |
0.70 |
| General topic match |
0.40 |
Example Computation
Source: {EXAMPLE_SOURCE_DESCRIPTION}
source_type = {VALUE} * 0.35 = {PRODUCT}
recency = {VALUE} * 0.25 = {PRODUCT}
community = {VALUE} * 0.20 = {PRODUCT}
specificity = {VALUE} * 0.20 = {PRODUCT}
-----
authority_score = {TOTAL}
LLM Boundary
| Compute authority_score using formula |
YES — deterministic |
| Override formula weights |
NO — user must approve changes |
| Skip scoring for “obvious” sources |
NO — always compute |
| Report score without showing formula inputs |
NO — show the breakdown |