chickennet-research-0.2.0-perch2

ChickenNet Research 0.2.0 — Perch 2

A provenance-locked binary chicken_vocalization_present specialist head over frozen 1,536-dimensional Google Perch 2 embeddings.

This repository contains only the ChickenNet model family. It shares the frozen Perch 2 feature contract with other field heads and does not use BirdNET logits.

Status: public noncommercial research artifact; these exact checked JSON/NPZ bytes are privately deployed as a review-only field head. A threshold crossing selects audio for human review. It is not a calibrated probability or a confirmed biological observation.

This repository publishes the exact safe runtime bundle currently used by the chickennet-dev2-field-probe field head, plus sanitized aggregate provenance and challenge summaries. It contains no source audio, exact training manifest, coordinates, private observation locations, uploader identities, credentials, private paths, or arbitrary Python serialization.

Release identity

Public release: chickennet-research-0.2.0-perch2
Runtime slug:   chickennet-dev2-field-probe
Bundle ID:      d81cd5aee82176065f79abe4ae19db69f5c52c0ca4818d43fd981bf7781dcc41
Source artifact SHA-256: d1595cc65a484ea963172dcc3c8d4b20e0fb6fbc0771883b40105b77668d6686
Logical dataset hash:    eae3953337fa2014596d5e95f0c63387421366196fed38888a5723da01f33935
Manifest JSONL SHA-256:  afe315fcb4f6f8a096ea45a0cc20c6b86256b868b7f5e5589257aec8a228d1d5

The source joblib and exact row-level manifest remain in private scientific custody. The public JSON/NPZ bundle contains only the broad deployed head. release/training-summary.json publishes aggregate row, group, rights, split, and label-authority counts plus the exact private-manifest hash.

Inference contract

The Perch weights are not included. This specialist head cannot score raw waveforms by itself.

Training sources

All source groups and parent recordings remain within one train/validation/test partition. The exact retained training-window audit found no missing or mismatched source windows. Weak and context-derived labels retain their recorded authority; they are not promoted to ecological truth.

Research-threshold evidence

These results were produced by the multi-head source artifact at its research threshold. They do not describe the much stricter deployed event policy.

Deployed-threshold replay

The retained challenge embeddings were replayed through the exact deployed broad-head bundle at 0.9999:

This replay is descriptive. The operational threshold was selected after these challenge sets had already been examined, so this is not an untouched threshold-selection experiment or a field accuracy estimate.

Operational relationship

The private field listener computes one Perch embedding per five-second window and scores InsectNet, ChickenNet, and FrogNet independently. BirdNET remains a separate evidence lane. Model assertions, exact spans, thresholds, and later human decisions are preserved separately.

The raw field archive, review ledger, sensor configuration, and operational repository are intentionally not published.

Verify the package

sha256sum --check SHA256SUMS
cd bundle && sha256sum --check SHA256SUMS

Load bundle/weights.npz only with allow_pickle=False. The package does not require joblib or pickle.

Included files

• bundle/model.json — exact deployed model metadata and inference contract
• bundle/weights.npz — exact deployed numeric arrays
• bundle/SHA256SUMS — deployed bundle-member checksums
• release/release-manifest.json — identity, rights, and custody boundary
• release/training-summary.json — sanitized aggregate training membership and split audit
• release/challenge-summary.json — frozen research-threshold challenge summaries
• release/deployed-threshold-replay.json — clearly labeled post-selection operational replay
• SHA256SUMS — complete public payload inventory

Known limits

• The broad head does not identify individual birds, call meaning, behavior, welfare, health, sex, or age.
• The iNaturalist challenge is taxon-associated weak-positive evidence, not exact-span ground truth for every window.
• The strict field threshold intentionally sacrifices recall to bound review burden.
• No formal prevalence-adjusted field precision or recall estimate exists.
• The trainer run recorded a dirty Git worktree. Exact model bytes, data membership, manifests, embeddings, and retained windows survive, but the named clean commit alone does not reconstruct the historical trainer source state.
• Some source families encode DOI/license/member identity at row level rather than through one standardized source sidecar.
• The field bundle's historical key training_manifest_hash contains the canonical logical dataset hash. The separate JSONL byte hash is published in the release manifest and training summary.

Rights and provenance

The training matrix includes public permissive and noncommercial research lanes. Because ESC-50-derived material contributed to fitting, this artifact is distributed under CC BY-NC-SA 4.0 for noncommercial research and field evaluation, subject to all upstream terms. No upstream audio is redistributed and this release grants no rights to source recordings or Perch weights.

Source

• Source registry and tests: https://github.com/vortexpjeff/chickennet
• Tagged release tree: chickennet-research-0.2.0-perch2
• Older public research ancestor: TheVortexProject/chickennet-research-0.1.0-perch2

Load the checked deployed bundle

from pathlib import Path
from chickennet.bundle import load_bundle, score_embedding

bundle = load_bundle(Path('bundle'))
raw_score, review_score = score_embedding(bundle, perch2_embedding)

The input is one finite 1,536-dimensional Perch 2 embedding. Do not feed BirdNET logits or waveforms directly into this head.