Arc H1 hESC CRISPRi
Negative primary result: target-ridge underperformed both declared baselines on panel MAE and RMSE.
GaiaWorld is a scientific flight recorder for biological prediction experiments. It records evaluation boundaries, freezes models and predictions before scoring, compares them against declared baselines, and preserves the result whether positive, negative, or closed before reveal. Current evidence consists of three self-published retrospective benchmarks — one negative primary result and two narrow positive primary results — plus one pre-reveal eligibility closure. These records are independently inspectable but have not yet been independently reproduced.
The engineering record covers deterministic execution controls, temporal cutoffs, gating, hashes, replay behavior and abstention. It is separate from biological performance and is re-verified in the browser against the version-controlled JSON record.
Every declared engineering assertion in the self-published zero-cost proof passed.
Experiment #001 is a published retrospective result. The frozen target-ridge model underperformed both declared baselines on panel MAE and RMSE, with only a modest secondary discrimination signal.
The primary metric was not moved after reveal. The raw score and lock hashes remain auditable.
Retrospective held-out evaluation on a pre-frozen 100-gene H1 hESC CRISPRi panel. These are GaiaWorld panel metrics, not official Arc leaderboard metrics.
One negative primary result, two narrow positive retrospective results, and one eligibility closure before reveal. A closed experiment is not scored and receives no scientific verdict.
Negative primary result: target-ridge underperformed both declared baselines on panel MAE and RMSE.
Narrow positive primary result on a precommitted process-hidden partition of a public dataset: ~1.02% relative panel-MAE improvement over empirical mean.
Narrow positive primary result on a separate process-hidden public-dataset partition: 2.51% relative panel-MAE improvement over empirical mean, with 33 abstentions.
The predeclared gate required exactly 105 eligible single-gene conditions; identity-only inspection found 81. The experiment closed before partition creation, model fitting, prediction freeze, scoring, or outcome reveal.
Lower panel MAE is better. The target-ridge model scored 0.13257 versus 0.07616 for no-change and 0.08195 for empirical mean. It won only 11% of cases against no-change and 8% against empirical mean.
The target-ridge lane did show a panel discrimination diagnostic of 0.5332 versus about 0.505 for both baselines, a +0.0282 difference. That measure was secondary, adapted to the frozen 100-gene panel, and is not official Arc PDS.
The separately audited direct-evidence route admitted zero Arc-compatible transition effects. It therefore remained at 100/100 abstentions and zero coverage rather than fabricating expression-delta magnitudes from generic literature confidence or association signals.
The revealed holdout can now inform diagnosis of failure, but it cannot be reused as untouched evidence for a revised model. Experiment #002 must use a genuinely new evaluation boundary and freeze its architecture, hyperparameters, metrics, baselines, prediction hashes and scorer before reveal.
On a distinct evaluation context (Replogle K562 CRISPRi, precommitted process-hidden 200-case partition of a public dataset), the frozen baseline-residual-ridge model scored panel MAE 0.02498 versus 0.02523 for empirical-mean and 0.04705 for no-change — strictly better than both, meeting the pre-written success criterion. Against the stronger baseline it won 35 cases, lost 9, and tied 156; the top 5 winning cases contribute about 47% of the gain.
The margin is ~1% relative over the stronger baseline, concentrated in the cases whose perturbation target is present in the measurement matrix. The panel discrimination diagnostic was 0.5123 versus 0.5025 for both baselines (+0.0098) — secondary, non-overriding, and not official Arc PDS. The evaluation outcomes were already public; the claim is process separation under a precommitted hash rule, not secrecy of the source outcomes.
On the RPE1 CRISPRi precommitted process-hidden 200-case partition of a public dataset, the frozen baseline-residual-ridge lane scored panel MAE 0.23221 versus 0.23818 for empirical mean and 0.29546 for no-change. The relative margin over the stronger baseline is 2.5%.
The scorer reports 33 abstentions. This is a one-time, retrospective, held-out 100-gene panel evaluation with a pre-committed split and frozen predictions. It does not establish general biological prediction ability, causal validity, patient benefit, safety, efficacy, or clinical utility.
A result is more useful when the path to it can be inspected. GaiaWorld records the parts of a benchmark that can otherwise be quietly rewritten after outcomes are known:
What was frozen, when it was frozen, which code version ran, which data were available, and which baselines and primary metric were declared.
What changed, why it changed, what was excluded, and—where applicable—who reviewed the eligibility boundary.
What the system predicted before outcome reveal, what happened afterward, and the raw artifacts needed to check the account.
These receipts do not make a scientific result true, clinically useful, or independently validated. They make the process more inspectable and make it harder to quietly rewrite history after seeing the outcome.
Current status: no independent reproduction has been completed or claimed. GaiaWorld's published experiments are self-published retrospective records, not externally validated findings. GitHub issue #130 remains the public request for independent reproduction, hash verification, and critique—including findings that identify limitations or discrepancies.