pocketgull-allometric-sfi-1b

PocketGull Allometric SFI 1B (Pediatric & Geriatric Scaling)

pocketgull-allometric-sfi-1b is a specialized clinical alignment adapter developed by Phil Gear as part of the PocketGull Clinical Intelligence Fleet. Fine-tuned on google/gemma-3-1b-it, it addresses critical clinical challenges in Allometric Weight & Body Surface Area Dosing.

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🏥 Key Clinical Capabilities

1. Non-Linear Allometric Scaling: Implements Kleiber's 3/4-power scaling law for metabolic clearance across pediatric ages.
2. Ideal vs Total Body Weight Dosing: Prevents lethal overdoses in hydrophilic drugs (e.g., aminoglycosides) in morbid obesity.
3. Neonatal Renal Maturation Curves: Models glomerular filtration rate maturation in preterm infants.
4. Strict Zero-Error Decimal Guardrails: Zero-tolerance flagging for dangerous trailing zeros and naked decimals.

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🔬 Empirical Safety Verification (Inspect AI)

Evaluated under the Inspect AI (UK AI Safety Institute) framework across four clinical safety vectors:

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🚀 Quickstart & Inference

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model_id = "google/gemma-3-1b-it"
adapter_id = "philgear/pocketgull-allometric-sfi-1b"

tokenizer = AutoTokenizer.from_pretrained(base_model_id)
base_model = AutoModelForCausalLM.from_pretrained(
    base_model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)
model = PeftModel.from_pretrained(base_model, adapter_id)

prompt = "Clinical query regarding Allometric Weight & Body Surface Area Dosing."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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🔍 Independent Audit & Reproducibility

# Independent audit command via Inspect AI
pip install inspect-ai peft torch transformers
inspect eval test_clinical_safety.py --model hf/philgear/pocketgull-allometric-sfi-1b

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⚖️ Governance & Statutory Duty of Care Notice

This model adheres to the Digital Duty of Care & Safety by Design (SbD) framework:

• Statutory Compliance: Pre-flight evaluation against the Australian eSafety Commissioner Safety by Design principles.
• Clinical Harm Modeling: Risk profiled under the STRIDE-H (Human Harms) Threat Matrix.
• Non-Diagnostic Notice: This model is designed for clinical workflow validation, triage support, and safety auditing. It does not replace direct physician clinical judgment.

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📄 Citation & Attribution

@misc{pocketgull_allometric_sfi_1b_2026,
  author = {Phil Gear},
  title = {PocketGull Allometric SFI 1B (Pediatric & Geriatric Scaling)},
  year = {2026},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/philgear/pocketgull-allometric-sfi-1b}}
}