PUBLIC EVIDENCE DOSSIER

NEL2Applied environmental modelling2026v1.3

Numerical evidence ledger

NEL2: From Radial Displacement to Claim-Gated Growth Forecasts: Identifiability, Telemetry, Uncertainty, Recovery, and Final Synthetic Closure

NEL2 extends NEL1 from annual ring-width forecasting to the evidence chain between radial displacement and irreversible-growth forecasts. Observed annual records, known-growth synthetic experiments, and statistical planning remain separate. A frozen weekly candidate improves on matched Persistence, but uncertainty/risk and timely-drift gates fail; automatic growth claims remain closed.

NEL2
EVIDENCE MODE
Retrospective audit and synthetic numerical evidence ledger
SCOPE
CLAIM-BOUNDED
Publication
Public publication · DOI
01QUESTION

Research question

When do measurement identifiability, information available at forecast time, predictive skill, uncertainty, and recovery jointly justify a growth claim?

02MODEL

MODEL SCOPE

Public model description

The measurement model separates irreversible growth from reversible water deformation, temperature response, and instrument effects. Equal-input, different-growth constructions delimit identifiability; virtual component references add explicit information assumptions. Forecasts train on available algorithmic labels, while latent growth remains a separate evaluation target. Intervals, selective issuance, and recovery each have their own information and acceptance contract.

03EXPERIMENT

PROTOCOL

Declared evidence chain

NEL2.1–NEL2.12 progress from source identity and annual memory–climate reconstruction through identifiability, extraction, cadence, telemetry, future growth, uncertainty, abstention, shift/recovery, and sample sufficiency to frozen closure. Annual observations are reused retrospectively rather than presented as pristine holdout evidence. The final synthetic cohort contains 240 parents with 4,560 linked replays; the primary weekly comparison uses common accepted windows. Previously frozen components and negative gates are retained after the final evaluation.

Series: NEL2.1–NEL2.12 · 60 recorded annual series · 240 synthetic parents · 4,560 linked telemetry replays

  • NEL2.1–NEL2.12
  • 60 recorded annual series
  • 240 synthetic parents
  • 4,560 linked telemetry replays

The labels below preserve the public protocol identity. They are an index to the publication, not a substitute for its full methods or an open reproducibility bundle.

04RESULT

EVIDENCE

Results inside the model

240 / 4,560Synthetic parents / linked telemetry replaysReplays share parent realizations; they are not 4,560 independent biological observations.
9,777 / 12,800Accepted / scheduled weekly forecastsPrimary integrated synthetic comparison only.
7.065 / 9.036 µmCandidate / matched Persistence MAEKnown synthetic growth target; 21.81% lower error on accepted windows.
35.43%Exceedance riskFixed diagnostic tolerance; not a biological or regulatory threshold.
75.44% / 90%Weakest-group coverage / nominal coverage
0 / 160Timely first alarms in the primary drift challengeG4 and G5 fail; automatic growth-claim admission remains closed.

INTERACTIVE MODEL LENS

Measurement-to-claim lens

A normalized reading of displacement identifiability, matched weekly skill, and the failed integrated growth-claim qualification. The lens does not replay the study.

NORMALIZED EXPLANATORY VIEW
Active stateClosed claim gate

Uncertainty/risk and timely shift detection fail. Prior qualification keeps automatic growth claims closed; refusal does not imply zero error or complete detection.

Geometry, intensity, timing, and motion in this lens are normalized explanatory encodings. They are not experimental measurements. Published aggregates remain in the evidence signals and source figure.
  1. On 9,777 accepted windows out of 12,800 scheduled primary weekly forecasts, latent-growth MAE is 7.065 µm versus 9.036 µm for Persistence on the same windows: a 21.81% reduction.
  2. Exceedance risk at the fixed diagnostic tolerance is 35.43%; the weakest group has 75.44% growth coverage under nominal 90% intervals. None of 160 primary drift-challenge parents receives a timely first alarm. G4 and G5 fail, so the integrated conjunction remains negative.
  3. Additional virtual instrumental information supports conditional correction, but blind-reference and repeated-change controls expose its limits. The separate automatic growth-claim layer issues zero claims under prior qualification; non-issuance has undefined error and coverage, not perfect performance.
05CLAIM BOUNDARY

BOUNDARY

CLAIM BOUNDARY

  1. 01
    Declared numerical protocol

    NEL2.1–NEL2.12 · 60 recorded annual series · 240 synthetic parents · 4,560 linked telemetry replays

  2. 02
    Supported model-level finding

    On 9,777 accepted windows out of 12,800 scheduled primary weekly forecasts, latent-growth MAE is 7.065 µm versus 9.036 µm for Persistence on the same windows: a 21.81% reduction.

  3. Claim boundary
  4. 03
    Requires a separate validation chain

    Recorded-series identity is not verified independence of biological trees, and reused annual observations are not a new untouched test. Synthetic growth, virtual sensor references, and planning studies do not establish biological calibration, physical sensor performance, field deployment, national transferability, or autonomous recovery. Source code, raw trajectories, per-window predictions, fitted states, exact settings, and reconstruction records are withheld; selected verification materials require a separate written NDA and author approval.

Numerical evidence is not physical validation. Transfer to a material, device, organism, environment, or operational service requires a separate validation chain whenever such a transfer is relevant.

06PUBLICATION

Publication record

Author
Nikita Teslia
Programme
Applied environmental modelling
Claim type
Numerical evidence ledger
Year
2026
Publication date
Report version
1.3
Report date
Zenodo record version
v2
Dossier review
Series
NEL2.1–NEL2.12 · 60 recorded annual series · 240 synthetic parents · 4,560 linked telemetry replays
License
CC BY-NC-ND 4.0
DOI
10.5281/zenodo.23138602

Citation

Teslia, N. (2026). NEL2: From Radial Displacement to Claim-Gated Growth Forecasts: Identifiability, Telemetry, Uncertainty, Recovery, and Final Synthetic Closure (Version 1.3). Zenodo. https://doi.org/10.5281/zenodo.23138602Open publication record

The DOI is the canonical external record. The site condenses the public publication and does not replace it.

Zenodo record

Public report (PDF)

PROGRAMME TOPOLOGY

Research lineage

Lineage records publication sequence and explicit revision or supersession links. It does not assert empirical causation or an otherwise unverified cross-branch dependence.

NEL2Applied environmental modelling
Successors

No published successor is encoded in the current research graph.

FIELDSTABLE