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How a score is worked out › ledger-default@0.2.0

ledger-default@0.2.0

The everyday model. It scores every claim type that can be scored at all, including causal and interpretive claims, and marks those two as model-dependent so a reader knows another model may disagree.

Version 0.2.0. Evidence from a source the claim was taken out of stops counting as support for it — that is provenance, not corroboration. Ungrouped evidence is keyed by origin and passage, so one page recorded twice as two sources counts once.

Released at entry seq 4001 · config sha256:81ce599707aedb7aefa2782b21f58ec450bc2132524c60cf18762da1d6ba5385 · code sha256:884a61eba176cfd67305a75bf1fa5557dff0f30aad7807326839db1bc0513acc

A released model never changes. Those two hashes are recorded in every score it produced, so any number it has ever given can be reproduced exactly, by this node or by anyone else.

What this version changed

SettingWasNow
how ungrouped evidence is groupednot declaredorigin
evidence from the claim's own sourcenot declaredself 0.0, independent 1.0

Where it differs from ledger-strict@0.2.0

Released alongside it, from the same code, with different settings.

Settingledger-strict@0.2.0ledger-default@0.2.0
types it marks as model-dependentnonecausal, interpretive
observation weight: expert analysis0.00.3
prior: causalnot declared0.35
prior: interpretivenot declared0.50
claim types it scoresobservational, quantitative, historical, textual, comparative, definitional, attributed beliefobservational, quantitative, historical, textual, comparative, definitional, attributed belief, causal, interpretive

What it scores, and what it declines to

Scored: observational, quantitative, historical, textual, comparative, definitional, attributed belief, causal, and interpretive.

Every other claim type gets not applicable from this model and no probability at all — a refusal to score, not a score of nought. It marks causal and interpretive as model-dependent, which says on the page that another model may reasonably disagree.

Every number it declares

What each of these means, and why it is there, is on how a score is worked out.

Prior by claim type

SettingValue
causal0.35
textual0.50
historical0.50
comparative0.50
definitional0.50
interpretive0.50
quantitative0.50
observational0.50
attributed belief0.50

Relevance

SettingValue
weak0.2
direct2.0
strong1.2
moderate0.6
context only0.0

Observation

SettingValue
other0.1
hearsay0.1
eyewitness0.4
calculation0.7
direct text0.9
measurement1.0
model output0.0
archaeological0.9
dataset result0.9
expert analysis0.3

Authenticity

SettingValue
doubtful0.3
verified1.0
unverified1.0

Extraction

SettingValue
verified1.0
unverified1.0

Provenance

SettingValue
self0.0
independent1.0

State thresholds

SettingValue
supported0.80
leans supported0.60
unresolved above0.40
leans contradicted above0.20

The rest

SettingValue
interpretive step penalty0.15
independencestrongest only per group and direction, ungrouped evidence keyed by origin
roundingmode half_even, weights 6, coverage 2, probability 4, boundary guard 1e-6
review checksprimary source reviewed, opposing search done, independence reviewed, qualifiers reviewed
primary source typesprimary text, dataset, measurement, legal document

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